Land Costs Research Articles

Assessing the economic feasibility of voluntary carbon markets in land use management scenarios for Scottish saltmarshes

Saltmarshes have been valued for their multiple ecosystem services, including agriculture, recreation, habitats for fish and birds, coastal protection and carbon sequestration and long-term storage. However, because of the many threats faced, including rising sea levels, limited sediment supplies and anthropogenic impacts, saltmarshes require careful restoration and protection management to continue providing these benefits. In this study, we examined the feasibility of land abandonment caused by reinstated tidal flow in Scottish saltmarshes, based on the differential gains in soil carbon stock between natural saltmarshes and those manged for agricultural uses, and suggested considerations for a voluntary carbon market plan. The study's results showed that the proportion of Scottish saltmarshes used for agricultural activities was not very large (2.56 %, equivalent to 179.73 ha). The average net benefit (i.e., after removing the opportunity cost of land) of the new land use is GBP £ 5368.71/ha after a 67-year post-abandonment management program, showing that this model is economically viable to implement a carbon market mechanism. A voluntary carbon market scheme may be easier to implement than a compliance scheme, although the price of carbon credits under the voluntary carbon market is not high to fully compensate for the opportunity costs of land in all the Scottish regions. In effect, the carbon price at the break-even point (e.g., that balances the opportunity cost of land) in the Scottish regions varied widely (range £ 1.06–59.83/tC), which means that for regions with higher opportunity costs there is a need to consider compensating farmers through a blended private-public mechanism. Despite these difficulties, implementing saltmarshes management models for carbon market initiatives can benefit society in a broader sense, not just mitigate climate change.

SolarET: A generalizable machine learning approach to estimate reference evapotranspiration from solar radiation

Irrigation is the most significant consumer of freshwater worldwide. Deciding on the right amount of irrigation is crucial for sustainable water management and food production. The Penman-Monteith (P-M) reference crop evapotranspiration (ETO) is the gold standard in irrigation management and scheduling; however, its calculation requires measurements from multiple sensors over an extended reference grass surface. The cost of land, sensors, maintenance, and water to keep the grass surface green impedes having a dense network of ETO stations. To solve this challenge, this research aims to develop an input-limited ETO estimation approach based on historical weather data and machine learning (ML) algorithms to relax the need for a reference grass surface. This approach, called "SolarET," takes solar radiation (RS) data as its sole input. RS is the only meteorological driving factor of ETO that does not rely on the measuring surface. To test the generalizability of SolarET, we test its performance over unseen arbitrary locations across California. California is chosen as the case study since it is one of the world's most hydrologically altered and agriculturally productive regions. In total, 19,088,736 hourly data samples from 131 automated weather stations have been used in this study. The ML models have been trained over 114 stations and tested over 17 unseen stations, each representing a California climatic zone. Our findings point to the superiority of decision tree-based algorithms versus neural networks. SolarET works best in irrigation-oriented regions of California (e.g., Central Valley) and is less accurate in coastal and desert zones. Our results demonstrate the higher accuracy of SolarET using hourly (RMSE = 0.93 mm/day) and daily (RMSE = 0.97 mm/day) RS data in comparison to well-known empirical alternatives like Priestley-Taylor (PT) (RMSE = 1.35 mm/day) and Hargreaves-Samani (HS) (RMSE = 2.69 mm/day).

Geospatial Optimization of Location-Dependent Costs for Gravity Energy Storage Plants in a Mountainous Suburban Area: The Case of Fukuoka City, Japan

<p class="MsoNormal" style="margin-top: 10pt; text-align: justify;"><span lang="EN-US" style="font-size: 14pt; font-family: 'times new roman', times, serif;">Gravity Energy Storage (GES) systems are recently being considered as a viable solution for storing intermittent renewable energy power, specifically in high curtailment zones. While a few studies have analyzed the material costs of GES systems, there is a paucity of literature on analyzing the socioeconomic costs of GES systems. This study analyzes the location-dependent costs of GES plants using a multi-factor spatial parameterization model for evaluating the existence of a point of minimum cost in a suburban mountainous geography. A case study of 500x500 points in a 50x50km2 area in the suburban area of Fukuoka city in Japan is performed. It is found that the cost of material transportation and transmission is more dominant in determining the position of an optimal cost location than factors of excavation and land costs. The position of the minima is also related to the principal urban area in that the line connecting the Center Business District (CBD) and suburban flat areas (line 1) is where the potential minima lie. The intersection point of an orthogonal to the line connecting the CBD with a substation nearest to the flat area with line 1, is the potential zone of minima location. The findings of this study are critical for urban energy planners and reveals how socioeconomic cost factors can aid in geolocation a suitable GES installation site.</span></p>

Techno-economic Comparative Analysis of Floating/On-Ground Solar PV System for Electrification of Gilgel Gibe I Auxiliary Load in Ethiopia

Ethiopia is well endowed with solar energy resources with daily average radiation ranging from 4.5 to 7.5 kWh/m2/day. The significant electricity consumption of the country is reliant on hydropower. This dependence on hydropower makes the country susceptible to weather and climate changes, such as droughts, which can lead to reduced water levels in hydropower reservoir and reduced electricity generation. The application of solar floating photovoltaic (FPV) in the existing hydro reservoir would provide solar electric power to support hydropower generation especially during dry periods, and decrease evaporation losses. This implementation also has the cascading effect of increasing the solar power generation from the PV system by reducing the panel temperature through efficiency gain while saving the land requirement for installing the same PV system. Especially for countries like Ethiopia where agriculture is the key source of economy, optimal usage of land is very important. Thus, in this research, a techno-economic comparative analysis of 4MW Grid-tied FPV and ground-mounted PV system on Gilgel gibe I reservoir in Ethiopia for supplying the auxiliary load of the generation plant is done. The results showed that the proposed FPV system has 6.9% more electricity generating capacity than land-mounted PV system and saves 74,400m3 of water from evaporation annually. The FPV plant will also save the land cost burden, and results the levelized cost of energy (COE) 0.043$/kWh, which is 15.7 % less than land-mounted PV systems. In another way, the proposed FPV system indicated a positive impact on the environment by reducing 993 tons of greenhouse gas emission annually. Thus this research results will offer a clear directions for the concerned stockholders to implement FPV technology on the Ethiopian hydro reservoirs.

GIS-AHP-GAMS based analysis of wind and solar energy integration for addressing energy shortage in industries: A case study

Industries have suffered significant financial losses due to inadequate electricity supply. This article proposes using renewable energies to address the energy shortage issue in an industrial area in Iran. A GIS-AHP-GAMS approach is used to assess wind and solar energy potentials based on 11 criteria to determine suitable areas for constructing a power plant. An optimization problem is solved using GAMS software to propose optimal power plants to minimize unsupplied energy to the industrial unit. The problem is solved under various constraints and four scenarios, and the initial investment cost equal to the financial loss incurred by the industrial unit. In the first scenario, the optimal power plant consists only of solar panels and inverters, with a cost of energy (COE) of 0.175 $/kWh and an energy supply index improved up to 77%. The second scenario eliminates land cost, reducing COE by 3.5%, while energy supply improves by 2.5% compared to the first scenario. The third and fourth scenarios propose an equal combination of solar and wind energy and constructing the power plant in remote areas, respectively. Although the COE increases significantly in these scenarios, the energy supply indices in the fourth scenario improve compared to the first scenario.

Environmental Consequences of Unregulated Sanitation Practices in Urban Watercourse Neighborhoods in Sub-Saharan Africa: A Case Study of Yaoundé City Cameroon

Rapid urbanization and population growth in developing countries are driving people to settle in high-risk areas. Indeed, because of the very high cost of land in city centers, people prefer to settle in non-Aeficandi areas sometimes. Consequently, this choice results in inadequate sanitation due to the lack of access to basic services, and in turn to poor waste management. The residents of Yaoundé, particularly those living in precarious neighborhoods near urban watercourses, face the challenges of unregulated management of both liquid and solid waste. This situation contributes to the degradation of the urban landscape. The aim of this study is to assess people’s sanitation practices concerning both solid and liquid waste management, examining their impacts on the living environment and susceptibility to environmental diseases. The research methodology encompasses direct field observations, comprehensive documentary research, and surveys of 250 households within the study area. The findings show that people mainly deposited their solid waste in the watercourses that run through their locality and wastewater in the yard or on street. Most latrines are built in proximity to watercourses with holes for the overflow of faeces. As consequences of these practices, the results showed hydrosystem pollution, environmental degradation marked by flooding, and high vulnerability to diseases such as malaria, diarrhea, typhoid fever, respiratory infections and cholera.
 
 Received: 27 September 2023 / Accepted: 18 January 2024 / Published: 5 March 2024

Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

AbstractElectricity supply reliability in an electricity distribution network is majorly affected due to unexpected power failures and power cuts. A hybrid renewable energy system (HRES) with the optimal size of renewable energy sources can substantially improve power reliability. Therefore, this article develops an objective function incorporating socio‐techno‐economic‐environmental (STEE) factors for HRES optimal sizing to supply reliable power to a rural village. The factors considered in the objective function are namely social (employment generation factor, human progress index, and land cost), technical (excess energy factor, renewable energy portion, and loss of power supply probability), economical (total net present cost, cost of energy, and annualized cost of system), and environmental (emission cost). In this article, for the first time, marine predators algorithm (MPA) based metaheuristic optimizer is devised to address the sizing optimization problem of HRES. Three HRES configurations, having different arrangements of diesel generator (DG), biogas generator (BG), battery (BAT), wind turbine (WT), and photovoltaic (PV), are examined utilizing MPA, particle swarm optimization (PSO), salp swarm algorithm (SSA), and genetic algorithm (GA) for optimal configuration. Due to the lowest value of economical and environmental factors and the highest value of the social factor, the PV‐WT‐BAT‐BG‐DG configuration is optimal compared to other investigated configurations with MPA. Comparing the four optimizers, MPA has the best STEE factor values, as well as stronger convergence, greater ability to escape from local minima, and higher ability to approach the global optimum. Additionally, by contrasting it with the PSO result for the three HRES configurations, the MPA result quality is confirmed. Furthermore, the cost of energy (0.1799 $/kWh) of the optimal configuration is less than the latest addressed in the literature.

Optimal decarbonisation pathway for mining truck fleets

The fossil fuel powered mining truck fleets can contribute up to 80% of total emissions in open pit mines. This study investigates the optimal decarbonisation pathway for mining truck fleets. Notably, our proposed pathway incorporates power generation, negative carbon technologies, and carbon trading. Technical, financial, and environmental models of decarbonisation technologies are established, capturing regional variations and time dynamic characteristics such as cost trends and carbon capture efficiency. The dynamic natures of characteristics pose challenges for using the cost-effective analyses approach to find the optimal decarbonisation pathway. To address this, we introduce a mixed-integer programming optimisation framework to find the decarbonisation pathway with minimum life cycle costs during the planning period. A case study for the optimal decarbonisation pathway of truck fleets in a South African coal mine is conducted to illustrate the applicability of the proposed model. Results indicate that the optimal decarbonisation pathway is significantly influenced by factors such as land cost, annual budget, and carbon trading prices. The proposed method provides invaluable guidance for transitioning towards a cleaner and more sustainable mining industry.

Impact of the New International Land–Sea Transport Corridor on Port Competition between Neighboring Countries Based on a Spatial Duopoly Model

The development of international land–sea transport corridors has provided more convenient access to the sea for inland areas and promoted the improvement of transportation efficiency, environmental improvement, and the strengthening of international cooperation. However, the construction of international land–sea transport corridors has also intensified competition among the ports, which has extended from the local and regional to the national and even international levels. This paper explores the impact of international land–sea transport corridors on oligopolistic port competition between neighboring countries using the Hotelling model. By setting up the utility of the shipper’s port selection, the equilibrium price, market share, and profit of duopoly ports in neighboring countries are analyzed under different conditions of cross-border land transportation and maritime transportation. It is found that the high cross-border transportation cost of the international land–sea transport corridor is not conducive to increasing the market share of the overseas oligopolistic ports in the region. If the maritime transportation cost of overseas oligopoly ports is too high compared with domestic oligopoly ports, it will offset the land transport advantages brought by international land–sea transport corridors. The findings in this paper could provide support for strategic decision making in port markets and cross-border transport corridor development.

Integration of Land Use Potential in Energy System Optimization Models at Regional Scale: The Pantelleria Island Case Study

In the context of the energy transition, the integration of land use considerations into energy planning can provide significant improvements. In energy system optimization models (ESOMs), land use aspects can be integrated at the cost of a finer spatial resolution and a more detailed characterization of land, tailored to regional constraints and specificities. Additionally, an assessment of trade-offs with alternative land uses is necessary. Nevertheless, they are commonly neglected. This study addresses the challenge of incorporating land use aspects into ESOMs, with a focus on the unique context of Pantelleria Island. It aims to bridge the gap in methodologies for renewable energy potential assessment and model integration, considering the critical role of land pricing and availability. It combines geospatial data aggregation with model adaptation to include detailed land use aspects. The findings highlight the substantial impact of land costs on renewable energy planning, with land pricing significantly altering model outcomes. This research offers key insights for sustainable energy planning and underscores the importance of considering land use in energy transition strategies.

PRODUCTION ARRANGEMENTS FOR TEMPORARY AND PERMANENT CROPS IN THE MUNICIPALITIES OF SANTARÉM AND MOJUÍ DOS CAMPOS - PARÁ

In the northern region of Brazil, the municipalities of Santarém and Mojuí dos Campos have been experimenting with the transformation of a productive system formerly based on traditional family agriculture to large scale mechanized agriculture. A new agricultural frontier has established itself in the region, driven by favorable conditions of climate, topography, and low land cost, and since then has attracted an increasing number of grain farmers from various regions of the country. Thus, the objective of this article is to analyze the dynamics of the permanent and temporary crop production chains in the municipalities of Santarém and Mojuí dos Campos, in the western region of the state of Pará, as well as identify the main factors that interfere in this productive chain. For this purpose, quantitative data were collected from the IBGE System of Automatic Recovery (Sidra) and the information was collected in the database of Municipal Agricultural Production (PAM). We concluded with the present research that grain productivity in Santarém and Mojuí dos Campos shows itself to be growing in recent years due to the high prices of soybeans and corn in the international market.

Selection of a sustainable location for waste electrical and electronic equipment recycling plant using Entropy and Evaluation based on Distance from Average Solution.

The production and consumption of electronic goods have experienced a significant increase over the years, leading to a substantial surge in the global volume of electronic waste, commonly referred to as Waste Electrical and Electronic Equipment (WEEE). The selection of a sustainable location for WEEE recycling plants plays a crucial role in mitigating environmental concerns, preserving resources and promoting economic development. It signifies a proactive and responsible approach to electronic waste management in the contemporary world. To tackle the challenge of selecting sustainable locations for WEEE recycling plants, this study employed the Entropy and Entropy and Evaluation based on Distance from Average Solution (EDAS) methodologies, evaluating 10 alternative cities in Turkey based on 13 criteria. The selected criteria include land cost, personnel cost, energy cost, availability of labour, government support degree, tax preferences, road network accessibility, number of electronic equipment producers, existence of recycling plants, suitability of land use, population and availability of renewable resources (wind power and solar energy). The Entropy method was employed to calculate the weights assigned to each criterion, whereas the EDAS method was utilized to evaluate the decision alternatives. The results provide region-specific recommendations, such as Antalya for the Mediterranean region and Samsun for the Black Sea region. The literature lacks sufficient research on the selection of sustainable locations for WEEE recycling plants. Furthermore, the utilization of real data enhances the study's credibility and provides practical insights for decision-making. The selection of a sustainable location for a WEEE recycling plant in Turkey not only demonstrates the country's environmental commitment but also sets a global example for responsible waste management.

The Role of Digital Technology in the Transformation of Agriculture Toward Smart Farming

Agriculture is one of the important sectors in the Indonesian economy. However, the agricultural sector also faces various challenges, such as climate change, limited land, and high production costs. One solution to overcome these challenges is to utilize digital technology. The transformation of agriculture towards smart farming is one effort to utilize digital technology in agriculture. The aim of this research is to analyze the role of digital technology in the transformation of agriculture towards smart farming. This study used qualitative research methods. The data collection technique in this research is a literature study with publication period criteria in the last 10 years, namely 2014-2024. The data obtained was then analyzed in three stages, namely data reduction, data presentation and drawing conclusions. Research results from 15 pieces of literature show that digital technology plays an important role in the transformation of agriculture towards smart farming. Digital technology can increase agricultural productivity, agricultural operational efficiency and the competitiveness of agricultural products. Digital technology can increase agricultural productivity by increasing the efficiency of agricultural inputs and increasing agricultural productivity. Meanwhile, the company's operational efficiency is through increasing the effectiveness of communication and supply chain management. Meanwhile, product competitiveness is carried out by improving product quality and increasing product added value.

Vertical incremental housing in São Paulo. The case of Minha Casa Minha Vida – Entidades

Incremental housing allows people to gradually appropriate urban space for their own use. The question remains how housing incrementalism relates to planning strategies for densification and revitalisation within dense urban cores, which can generate socio-spatial exclusion. Vertical incremental housing may offer the benefit of integrating incrementalism in well serviced urban areas but faces challenges in terms of higher land costs, technical complexity and development risk. This article presents an analysis of vertical incremental housing within the framework of the Brazilian Minha Casa Minha Vida – Entidades (MCMV-E) programme. MCMV-E allows social organisations to act as executive agents of housing policy. Under the MCMV-E programme, social organisations control federal funds for transforming vacant real estate into housing for low-income households. Despite its quantitative and qualitative significance, MCMV-E has received limited assessment in the academic literature. Whereas the literature to date has dismissed the programme in terms of its socio-spatial consequences, this paper analysis offers a more nuanced reading, arguing that MCMV-E has allowed low-income residents to successfully acquire housing in central and well serviced locations.

Optimal Allocation of Mega-solar Power Station using Integrated Input and Output-oriented models in Data Envelopment Analysis

In this paper, optimal allocation of mega-solar power station is studied using Data Envelopment Analysis (DEA). In Japan, A great attention is paid to natural energy. Especially, installation of a mega-solar station, which is a large photovoltaic power plant over 1MW, is beginning. In order to propose the optimal allocation, DEA method is applied in this research. Land cost, earthquake occurrence, transmission loss are used as inputs, and the amount of global solar radiation, and population density are used as outputs. The target locations are at 81 points in 5 prefectures of Chubu District in Japan. We perform ranking in consideration of input-oriented and output-oriented in BCC model, and successfully get solutions about the mega-solar optimal allocation.

Land, landowners, and the delivery of affordable homes on rural exception sites in England

Land is a major part of the total cost of residential development, particularly in advanced economies where significant proportions of economic value resolve to land and where land for development is rationed through planning systems that seek to corral extractable value into specific locations, in support of the infrastructure investment needed to unlock development opportunity. In England, strong markets assign a high value for land allocated for housing in local plans, relative to unallocated land. In England’s rural areas, constraints on land development – for reasons of landscape and amenity protection, or to support food security – contribute to significant affordability challenges for households on lower rural wages, who may be out-competed in the housing market by adventitious purchasers, or simply by more affluent buyers bidding for a limited supply of rural homes. Planned development (on sites allocated in a local plan) may not meet the needs of lower-income groups in constrained rural housing markets. For that reason, it is necessary to support housing affordability by granting exceptional permission for development on unallocated land, and then negotiating land sales at a price that will allow a non-profit housing provider (a ‘registered provider of social housing’) to build affordable rented homes for local households in need. Development on ‘rural exception sites’ (RES) has a thirty-year history. It is an important means of supporting the development of affordable homes in smaller villages (market-led schemes on allocated sites are the norm in larger settlements, with affordable homes procured through agreement with for-profit developers). The RES approach lays bare the impact of land cost on housing affordability. Only if a sufficiently low price for land, which is well below ‘full residential’ value, can be agreed will it be viable to develop affordable homes, with rents matching local wages. Where such a price is agreed, it may be possible to build homes without cash subsidy. If the price rises, affordability may be threatened, unless public grant support is more generous or market homes on the RES can be used to mitigate a higher land cost by providing cross-subsidy for affordable homes. This monograph details research exploring the recent granting of exceptional planning permissions in England, the critical relationship with landowners, and how those landowners may be incentivized to sell land at a price that supports affordability. It analyses extant threats to the approach, and therefore the risk that a key mechanism for delivering affordable homes may be undermined by a market logic that continuously questions the efficacy of ‘non-market’ and ‘non-profit’ housing solutions in England.

Improving the SNA: Alternative measures of output, input, income, and productivity

AbstractThe current System of National Accounts (SNA) Gross Domestic Product (GDP) concept does not measure the income generated by the production sector since it includes depreciation and excludes capital gains and losses on assets used in the production sector. The paper suggests an accounting framework that measures the income generated by the production sector of an economy and implements this measure using the Augmented Productivity Database (APDB) developed by Asian Productivity Organization and Keio University for China over the years 1970–2020. Real gross and real net income generated by the Chinese production sector are decomposed into explanatory factors including TFP growth using the framework suggested by Jorgenson and Diewert and Morrison. TFP growth is further decomposed into technical progress and inefficiency components using the nonparametric approach developed by Diewert and Fox. The APDB has estimates for the price and quantity of agricultural, industrial, commercial, and residential land used in China. The paper argues that changes in land use should be treated in the same manner as inventory change and added to the alternative output measures. It turns out that Jorgensonian user costs for land are frequently negative. The problems associated with negative user costs are discussed in the paper.

LAND MARKET: REALITIES OF UKRAINE AND EXPERIENCE OF POLAND

Agricultural lands are an indispensable resource for ensuring food security in Ukraine. Ukraine is on the path of reforming land relations and forming a market for agricultural land. Since Poland is close to Ukraine in terms of climatic conditions and land use, its experience had been taken into account. The purpose of the article is to form the process of the agricultural land market in Ukraine based on the experience of Poland. To study the research problems, comparative methods of research and observation have been used, as well as methods of synthesis, analysis and abstract logical approaches to the search, justification and determination of periods of development of land relations in Ukraine and Poland. The article discusses the approaches of scientists to determining the essence of the “land market”, outlines the conditions for the development of the land market in European countries (Holland, Switzerland, Austria, Germany, Great Britain, Scotland, Spain, Poland, Bulgaria, Romania, Croatia, and Estonia). The periods of development of the land market in Poland and Ukraine have been highlighted. An analytical assessment of the market for the purchase and sale of agricultural land in the regions of Ukraine has been carried out (indicating the number of transactions completed and the total area of land plots). Comparative information on the cost of land in the European Union countries has been provided. The authors’ vision of the process of forming the agricultural land market in Ukraine is summarized, highlighting: I - Legal regulation; II - The step-by-step process of implementing the reform in accordance with the legislative framework, features of the implementation of land reform under martial law; III - Implementation of the land market using a transparent system through the Application (Unified portal of public services) Action; VI – State control over available agricultural lands and their legal structure; V – Conducting an expert assessment of land plots and/or determining their regulatory assessment; VI – State control over available agricultural lands and their legal structure; VII - Constant monitoring of the functional use of agricultural land.

Economic Analysis of Acid Lime Production and Marketing in Nepal: A Benefit-Cost Perspective from Nawalpur East District

Acid lime plays a crucial role in the livelihoods of many Nepali farmers and holds substantial promise for local economic development. This study analyzed the economic aspects of acid lime production in three municipalities of the Nawalpur East district of Nepal: Madhyabindu, Bulingtar, and Bungdikali, and sought to identify the concerns and potential related to acid lime marketing and manufacturing. Data were gathered from 96 acid lime producers using a semi-structured questionnaire from May 2022 to July 2022. The average areas of acid lime cultivation and productivity were 0.387 ha and 3.061 mt ha-1, respectively. The production cost of acid lime was Rs. 104.82 kg-1. The rental values of land and labor costs (p=0.30) were the highest influencing elements at 35.99% and 19.71%, respectively. Other analyzed factors included the cost of fertilizer (p=0.20), plant protection (p<0.01), Bordeaux-micronutrients (p=0.35), and farm management (p=0.18). Benefit-cost analysis revealed a ratio of 0.80 and mean gross margin of Rs. -19.82 for acid lime production. The major problem for the production of acid lime was the lack of irrigation, whereas the lack of storage was found to be a major market problem and thus needed careful attention from the relevant authorities. This examination indicated that acid lime production is a practical choice for Nepali farmers in the countryside; however, there is a need for improvement in production management. This also suggests that acid lime farming has the potential to become a successful export-focused business in the long run in the Nawalpur East district of Nepal.

Optimizing the annual energy yield of a residential bifacial photovoltaic system using response surface methodology

This study investigates the impact of ground albedo, module spacing, height, and tilt angle on the annual energy output of a small-scale residential photovoltaic (PV) system. The study used response surface methodology (RSM) integrated with PVsyst simulation tool for the analysis. The results obtained from PVsyst are verified by comparing them with data from existing literature. Two significant contributions were demonstrated in this study: a parametric analysis that evaluates the influence of several parameters on the annual energy output, and a detailed statistical analysis that utilizes RSM with optimization. The central composite design with 30 runs was used for the experimental design. Within the tested ranges, the findings indicate that ground albedo, module spacing, and module tilt angle significantly affect annual energy generation. The RSM generated a statistical model that predicts the system's annual energy generation, with a determination coefficient (R2) of 0.99. Moreover, the RSM can identify the optimal values of the studied controllable parameters, which can lead to improved system performance and increased energy output. The optimization analysis reveals that the system's highest annual energy output is attained when the ground albedo is set at 0.82, the module spacing is 8.95 m, the module height is 1.35 m, and the module tilt angle is 35.7°. These parameters were determined based on the weather conditions in Sharjah, UAE. The findings reveal that the annual energy production of the tilted bifacial PV (T-BiPV's) improves by 12.4 %, when ground albedo is increased from 0.2 to 0.8. Also, the output increases by 69.47 % when spacing is increased from 2 m to 8 m. Additionally, increasing the height of the T-BiPV modules from 0.5 m to 2 m results in an increase in energy output by 5.63 %. This study can serve as a basis for further investigations into optimizing bifacial PV systems using RSM, particularly under restricted module spacing or when taking land cost into account in the optimization.