Net Present Value Research Articles

Energy, exergy and economic analysis of a poly-generation system combining sludge pyrolysis and medical waste plasma gasification

To optimize the processes of treating medical waste and pyrolyzing sludge, we propose a new integrated system that combines plasma gasification for medical waste treatment, combined cycle power generation, and sludge pyrolysis. The medical waste is first incinerated, and then the synthesis gas from plasma gasification powers a gas turbine to generate electricity in this integrated system. The gas turbine's exhaust gas heats steam and feedwater from the HRSG to achieve a combined gas-steam cycle. Simultaneously, turbine exhaust steam energizes sludge pyrolysis, allowing for efficient conversion of medical waste into electricity in an eco-friendly manner. A hybrid design study was conducted using different methods, including energy, exergy, and economic analysis. The study revealed that the medical waste-to-energy system integration has the potential to attain 66.31% energy efficiency and 66.70% exergy efficiency. Moreover, the medical waste-electricity project has a dynamic payback period of 2.46 years and a relative net present value of 38,949.91k$. These outcomes suggest that this innovative concept is practical, advantageous, and has excellent potential for further development in the field of waste-to-energy conversion.

Thermodynamic and thermoeconomic analysis and optimization of a renewable-based hybrid system for power, hydrogen, and freshwater production

To address environmental pollution effectively, it is crucial to promote the increased utilization of renewable energy sources. Furthermore, an appealing opportunity arises from enhancing the efficiency of renewable-based power plants while diversifying their product output. This study introduces a hybrid system that revolves around renewable resources, with a primary focus on evaluating power generation, hydrogen production, and freshwater extraction. The designed system seamlessly integrates a flash-binary geothermal power plant with a solar system, incorporating cutting-edge phase-change material storage technology. Hydrogen is generated through a combination of steam-methanol reforming and pressure swing adsorption processes. Freshwater is procured utilizing humidification-dehumidification and multi-effect desalination units. In terms of power generation, the system leverages the capabilities of the geothermal power plant alongside a modified Kalina cycle. The performance of this integrated system is rigorously evaluated through a combination of thermodynamic and thermoeconomic approaches. An exergy-economic optimization scenario is employed to determine the most efficient operational mode. The results of this comprehensive analysis reveal that the system can produce 0.0224 kg/s of hydrogen, 8.017 kg/s of freshwater, and generate 215.9 W of net power. Impressively, it achieves an exergy efficiency of 58.3% at a unit cost of $32.23/GJ in the base mode. Furthermore, the optimal operating state boosts efficiency to 60.59%, with a unit cost of $32.22/GJ. Notably, adjustments in the selling price of hydrogen have a significant impact on the system's financial metrics. As the price of hydrogen rises from $5 to $6/kg, the payback period reduces from 4 to 3 years, and the net present value surges from $5.81 million to $10.16 million.

Climate Risk Management in Agro-Pastoral Systems of Central and Northern Tanzania: Costs and Benefits of Local Adaptation

In Tanzania, agro-pastoral practices have been adapted to climate change for several years. However, the economic benefits and costs of adaptation techniques for agro-pastoralists have not been well documented. Therefore, this paper analyses the economic benefits and costs of adaptation strategies to climate change and variability. The analysis used primary data collected from 411 agro-pastoral households randomly selected from 22 villages in five districts in northern and central Tanzania. Net present value, benefit-cost ratio and internal rate of return were calculated to determine the benefit-cost analysis of adaptation strategies. The planned adaptation strategies were found to be financially viable compared to business-as-usual practices. Sensitivity analysis also showed that maize-sunflower intercropping was viable, while maize-bean intercropping was more sensitive to a 10% change in yield. In addition, drip irrigation and micro-catchment rainwater harvesting have the potential to contribute to climate risk management in these dryland areas by minimising water use and maximising output per hectare; the main challenge is the high initial capital cost. There is therefore a need for extension agents to continue to promote crop and livestock diversification among agro-pastoralists in managing climate risks to reduce their vulnerability to climate change and variability. In addition, research and development (R&D) practitioners need to promote and capacitate agro-pastoralists in drip irrigation and micro-catchment rainwater harvesting adaptation strategies.

A case study of techno-economic and environmental analysis of college rooftop for grid-connected PV power generation: Net zero 2050 pathway

In this study, a grid-connected solar photovoltaic plant (SPV) is designed, evaluated and analysed to meet the energy consumption of the College of Science and Technology in Siirt province, Turkey. The comprehensive financial and technical statistics in relation to parameters utilised within the system are presented alongside thorough economic and environmental evaluations. The design, economics, and technical evaluation of the system are supported by using PVsyst, PV*SOL and HOMER Pro. Based on the findings of the analysis, it has been determined that the photovoltaic installation is projected to provide an estimated 762 MWh of energy. In the economic evaluation conducted, the internal rate of return (IRR) was determined to be 19.55 %, the net present value (NPV) was calculated to be 346,085 USD with Levelized Cost of Energy (LCOE) of 0.1892 USD/kWh. In addition, the payback period of the photovoltaic plant is determined to be 17.4 years. The implementation of the photovoltaic panel system will result in an estimated reduction of roughly 6852 tonnes of carbon dioxide (tCO2) emissions.

Techno-economic evaluation of a thermochemical waste-heat recuperation system for industrial furnace application: Operating cost analysis

An operational cost analysis was conducted to determine the optimal parameters for achieving maximum net present profit value through thermochemical recuperation (TCR). The parameters of the TCR system (enthalpy, temperatures of exhaust gas and synthesis gas) were determined based on computational fluid dynamics (CFD) modeling. The results of the CFD modeling were verified using experimental data. The techno-economic evaluation of the TCR system was performed for two types of industrial furnaces with methane mass flow rate of 1.0 kg/s: a glass-melting furnace with an exhaust gas temperature of 1500 °C and a forging furnace with an exhaust gas temperature of 900 °C. The operational parameters of the steam methane reforming process varied during analysis: a residence time of 50–250 kgcat⋅s/molCH4, a feed steam-to-methane ratio of 1.0–3.0 mol/mol, and an operational pressure of 10 bar. Various prices for catalyst, electricity, and natural gas, as well as different replacement periods for the catalyst, were analyzed. It was found that the net present profit had an extreme value that depended on operational and cost parameters. The optimal residence time (specific mass of catalyst per mole flow rate of methane) was determined for various operational and cost parameters of the TCR system.

Techno-economic assessment (TEA) and sensitivity analysis for a biochar-based slurry fuel plant

This work explores the economic viability of a pyrolysis plant processing biochar-based slurry fuel (CS) from rice straw (RS) at production rates of 10 and 40 tonnes/h. Minimum selling prices for 40 wt% biochar in water (CS-W100) and ethanol (CS-E100) slurries were A$ 0.07 and A$ 0.052 per MJ, respectively. The most cost-effective scenario involves processing 40 tonnes/h of feedstock, yielding CS-E100 at A$ 1434.30 per tonne (or A$ 0.052/MJ). A sensitivity analysis highlights the selling price as a pivotal factor, with increased CS-E100 prices to A$ 1476.04 and A$ 1566.63/tonne resulting in profitable scenarios with payback periods of 14 and 8 years and internal rates of return of 14 % and 22 %, respectively. Monte Carlo analysis indicates a 74.73 % and 98.79 % probability of positive net present value (A$ 44.44 million and A$ 140.90 million) at the mentioned selling prices. The study introduces a pioneering hybrid simulation, combining literature and experimental data, to transform waste-to-energy materials into affordable and clean energy solutions through novel slurry fuels.

Strategic Evaluation and Economic Impact of Fibre Optic Infrastructure

Metrolink, LDA as the largest telecommunications company in Timor-Leste, is continuously investing to grow its company and serve the growing needs of its customers with a profit-oriented vision. This research aims to find out the viability of the investment plan that will be implemented at Metrolink, LDA. The investment plan is the construction of a project in Silawan-Batu Gade-Liquica-Dili that is to expand the network. With a total investment of USD 3,000,000 coming from equity at an interest rate of 9% in 2023. Capital budgeting is a process in which a company analyses a project and decides which projects will be included in its financial budget. The type of research that is conducted is descriptive research and this research will perform qualitative analysis to analyse the problems that occur. While the data is in the form of quantitative data. Evaluation of investment eligibility on the project This uses capital budgeting techniques which it uses to find out whether or not an investment proposal is eligible. With the payback period analysis tool, net present value. The two analytical tools are also used by Metrolink, LDA to measure whether the project is adequate or not. From the results of the analysis and the plan of the project Silawan-Batu Gade-Liquica-Dili. Obtained a payback period of 2 years 7 months from the target Metrolink, LDA is 5 years, Net Present Value of USD 3.358.050 of the target that is defined Metrolinks, the result is positive. It shows that the financial investment plan project is not worthy to be implemented.

Maximizing energy efficiency in wastewater treatment plants: A data-driven approach for waste heat recovery and an economic analysis using Organic Rankine Cycle and thermal energy storage

Maximizing energy efficiency through waste heat recovery (WHR) processes is crucial for sustainable and eco-friendly operations across multiple industries, notably in wastewater treatment plants (WWTPs). This work proposes a comprehensive approach for assessing the WHR feasibility in WWTPs, structured in two main objectives. Firstly, an Artificial Neural Network (ANN) model is developed to accurately predict WHR based on operational data, including biogas temperature, biogas pressure, daily production in kWh, and WHR values in kWhth. The second objective focuses on economically evaluating the WHR feasibility based on the estimated WHR values obtained by the ANN model, and then realistically assessing the economic feasibility of integrating the Organic Rankine Cycle (ORC) and Seasonal Thermal Energy Storage (STES) systems. With an application to the As-Samra WWTP located in Jordan, the developed ANN model demonstrates promising results in the validation phase, with a root mean square error (RMSE) of 2206 kWh/day, a mean absolute error (MAE) of 1674 kWh/day, and an R-squared (R2) value of 68%. On the other hand, the economic analysis reveals that an optimal ORC system of 412.14 kWe capacity yields a Net Present Value (NPV) of 2.09 million US dollars, a Levelized Cost of Energy (LCOE) of 0.0749 USD/kWh, a Payback Period (PBP) of 4.8 years, and annual revenues of 428 kUSD. This work also investigates the techno-economic feasibility of integrating ORC-STES. Results indicate that the LCOE and PBP are highly affected by the ORC's capital cost, and integrating STES increases the LCOE to 0.0824 USD/kWh, rendering its integration with ORC infeasible. This study aims to advance the understanding and application of WHR in WWTPs, paving the way for more efficient and sustainable practices in the field.

Optimizing Renewable Energy Integration: A Case Study of Standalone PV-Battery Systems in IZTECH Campus

In this research paper the feasibility of renewable-powered, self-sufficient university campuses was explored by conducting a technoeconomic analysis of standalone PV-Battery systems for the buildings of Izmir Institute of Technology (IZTECH) in Izmir, Turkey. Given the high energy demand and dependence on fossil-based grids by universities, integrating renewables becomes important for minimizing carbon footprints. In this study the campus's solar potential was focused and the techno-economic feasibility of grid-independent operations provided by PV-battery systems was evaluated. Four scenarios were investigated: (i) maximum PV installation for each building (MPVB), (ii) maximum PV installation for the entire campus (MPVC), (iii) necessary PV installation for self-sufficiency of each building (NPVB), and (iv) necessary PV installation for self-sufficiency of the whole campus (NPVC). The first two scenarios considered the maximum achievable rooftop PV installation while the latter two included additional PV installation to cover all electricity needs. For all scenarios both lead-acid and Li-ion batteries were considered. Mathematical models were developed using PVSol and TRNSYS software, and technoeconomic analysis was conducted using Levelized Cost of Energy (LCOE) and Net Present Value (NPV) methods. It was found that the NPVC scenario with lead-acid batteries is the most favorable, as it minimizes battery utilization by enabling more PV installation and facilitating energy transfer between buildings. Additionally, the research showed that off-grid PV-battery systems are economically less feasible compared to on-grid counterparts, primarily due to the high cost of batteries.

Techno-Economic Analysis of Combined Gas and Steam Propulsion System of Liquefied Natural Gas Carrier

Various combinations of ship propulsion systems have been developed with low-carbon-emission technologies to meet regulations and policies related to climate change, one of which is the combined gas turbine and steam turbine integrated electric drive system (COGES), which is claimed to be a promising ship propulsion system for the future. The objective of this paper is to perform a techno-economic and environmental assessment of the COGES propulsion system applied to liquefied natural gas (LNG) carriers. A propulsion system design for a 7500 m3 LNG carrier was evaluated through the thermodynamics approach of the energy system. Subsequently, carbon emissions and environmental impact analyses were carried out through a life cycle assessment based on the power and fuel input of the system. Afterwards, a techno-economic analysis was carried out by considering the use of boil-off gas for fuel and additional income from carbon emission incentives. The proposed propulsion system design produces 1832 kilowatts of power for a service speed of 12 knots with the total efficiency of the system in the range of 30.1%. The results of the environmental evaluation resulted an overall environmental impact of 10.01 mPts/s. The results of the economic evaluation resulted in a positive net present value and a logical payback period for investment within 8 years of operation. The impact of this result shows that the COGES has a promising technological commercial application as an environmentally friendly propulsion system. Last, for the economy of the propulsion system, the COGES design has a positive net present value, an internal rate return in the range of 12–18%, and a payback period between 6 and 8 years, depending on the charter rate of the LNG carrier.

Analisis Kelayakan Investasi Properti Proyek Pembangunan Perumahan Grand Panghegar Residence Purwakarta

One of the advantages of property investment is protecting the purchasing power of investments and getting added value from developments such as being converted into residential buildings, however, the development of housing projects and their long implementation time mean that problems may occur that are unforeseen. The aim of this research is to determine and analyze the feasibility of property investment for the Grand Panghegar Residence Purwakarta housing development project using the Net Present Value (NPV), Internal Rate of Return (IRR) and Payback Period (PP) calculation methods. This type of research uses quantitative descriptive. The research results show that the project life is 2 years with an investment value of IDR 55,500,000,000, a total of 608 units for Type 30/60. The results of research calculations obtained from the investment appraisal method used were obtained as Net Present Value (NPV) = IDR 56,689,500,000 (Positive), Internal Rate of Return (IRR) = 33.72% > 12%, Payback Period ( PP) = 2, within 2 months of investment capital. The conclusion of this research states that the Grand Pahengar Residence Purwakarta Housing is an investment worthy to build and develop.

APPLICATION OF AHP AND PROMETHEE METHODS FOR RANKING THE PROFITABILITY OF INVESTMENT PROJECTS

Making a decision about which project is the most profitable is not an easy task, especially when it comesto investments that require large investments. In practice, there are a large number of methods that are applied in order tomake the right decision. The aim of this paper is to show, through empirical analysis, the application of AHP and PROMETHEEmethods as extremely effective when deciding on the best alternative location for the construction of a mini-hydroelectric powerplant. In order to demonstrate the application of these methods and the process of choosing the most profitable project, usingthese methods, real data obtained by the investor, who has three alternative locations for the construction of a mini-hydroelectricpower plant, was used. First, an adequate discount factor, calculated net present value, Internal rate of RETURN project anddynamic investment payback period were selected, in order to then apply the AHP calculation, and then the PROMETHEEmethod in the Decision Lab 2000 program, based on all previously calculated indicators. The combination of these methodsshowed which of the projects is the most profitable and which should be implemented. The very application of these methodsalso showed us that several methods should be used before the final decision is made, in order to choose the most profitablealternative for the investor.

Estimating returns to schooling and experience: a history of thought

ABSTRACT This paper is a review of the literature in economics on the effect on earnings of human capital investment from Adam Smith to the early 1980s. It discusses the use of the net present value (NPV) technique by Walsh and Friedman and Kuznets, and Becker’s use of the NPV to estimate the internal rate of return to schooling. The first regression-based approach was the Becker and Chiswick ‘schooling-earnings function’, which was expanded by Mincer to the ‘human capital earnings function’ (HCEF) by incorporating on-the-job training. Extensions of the HCEF in the 1970s and early 1980s are discussed.

Strategic Design of a Business Model for Providing Services over the 5G Network in Peru

The advance of the fifth generation (5G) network globally has completely changed business models, giving rise to the birth of new companies with their business models and the adaptation of existing companies. This change is greatest in developing countries where 5G network deployment is scarce and key to their economy. This article aims to analyze the strategic design of a business model to provide 5G network equipment installation services in Peru. In addition, the article includes the design of a business structure for the implementation of the business model, as well as the evaluation of economic and financial projections to determine the economic viability of its implementation. The methodological approach covers business management applied to business design, examining several key areas such as business management, human resource management, finance, accounting, marketing, and operations management. The study of the business model is based on business management theory, using accounting and finance concepts to analyze the most significant financial indicators. The information and data used to analyze the aspects of the business model are extracted from the databases of Peruvian institutions. Our results reveal that implementing a business model for providing 5G network equipment installation services in Peru is economically viable since the economic and financial projections show that a Net Present Value of 146,931.02 monetary units is obtained. Also, the results justify the design of the business structure based on the value proposition of experience and specialization focused on 5G networks in Peru.

Machine learning-based fracturing parameter optimization for horizontal wells in Panke field shale oil

In the process of developing tight oil and gas reservoirs, multistage fractured horizontal wells (NFHWs) can greatly increase the production rate, and the optimal design of its fracturing parameters is also an important means to further increase the production rate. Accurate production prediction is essential for the formulation of effective development strategies and development plans before and during project execution. In this study, a novel workflow incorporating machine learning (ML) and particle swarm optimization algorithms (PSO) is proposed to predict the production rate of multi-stage fractured horizontal wells in tight reservoirs and optimize the fracturing parameters. The researchers conducted 10,000 numerical simulation experiments to build a complete training and validation dataset, based on which five machine learning production prediction models were developed. As input variables for yield prediction, eight key factors affecting yield were selected. The results of the study show that among the five models, the random forest (RF) model best establishes the mapping relationship between feature variables and yield. After verifying the validity of the Random Forest-based yield prediction model, the researchers combined it with the particle swarm optimization algorithm to determine the optimal combination of fracturing parameters under the condition of maximizing the net present value. A hybrid model, called ML-PSO, is proposed to overcome the limitations of current production forecasting studies, which are difficult to maximize economic returns and optimize the fracturing scheme based on operator preferences (e.g., target NPV). The designed workflow can not only accurately and efficiently predict the production of multi-stage fractured horizontal wells in real-time, but also be used as a parameter selection tool to optimize the fracture design. This study promotes data-driven decision-making for oil and gas development, and its tight reservoir production forecasts provide the basis for accurate forecasting models for the oil and gas industry.

Analisis Kelayakan Investasi pada Proyek Perumahan Sederhana Tipe 31/60 M2

The need for housing is increasing along with the rate of population growth. Simple livable housing is an option for low-income communities in accordance with the regional minimum wage. In making investments to make housing requires a feasibility analysis so that it can assess in accordance with the company's financial capabilities so that the company does not experience losses and make profits after investing large enough funds. This study aims to analyze the feasibility of investing in the MPR 2 Type 31/60 m2 simple housing development project in the Semarang Regency area which is viewed from a financial perspective using the Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), and Benefit Cost Ratio (BCR) methods. Based on the research that has been done, it can be concluded in terms of the feasibility of investing in the construction of subsidized houses type 31/60 in MPR 2 housing is feasible. This can be seen from the results of the analysis with the positive NPV method of Rp.127,933,335.12 > 1, the results of the analysis with the IRR method of 9.79% > 5% (MARR), the results of the analysis with the PP method, it shows that the period of return on investment occurs for 1 year 4 days, and the results of the analysis with the BCR method of 1.018 > 1.

Hydrogen from food waste: Energy potential, economic feasibility, and environmental impact for sustainable valorization

Globally, inefficient management of municipal solid waste, composed primarily of food waste poses concern for human and environmental well-being. Food waste can be converted into hydrogen gas, which can be utilized to generate power without emitting any harmful pollutants. This solution would also help with the issue of disposing of food waste. The conversion of food waste into hydrogen is a practical energy source with potential financial benefits. This study explores the transformative potential of converting food waste into renewable energy through hydrogen production, focusing on Bangladesh from 2023 to 2042. Notably, the study forecasts a surge in food waste from 23 million tons in 2023–110 million tons by 2042. By 2042, food waste is expected to generate 2480 MW of power, a rise from 489 MW in 2023. Based on the results of the economic study, the food waste into hydrogen via gasification project is financially viable in all of Bangladesh's main cities. Metrics such as internal rate of return, payback period, levelized cost of energy, net present value, and total life cycle cost were used to assess economic viability. The hydrogen production cost, payback period, and internal rate of return are 2.05 $/kg, 11 years and 14% respectively. It was discovered that using the available electricity from hydrogen gas may displace 1428 M liters of diesel fuel combustion. The quantity of diesel fuel saved can cut carbon dioxide emissions by 3.85 million tons. It was also found that using hydrogen as a source of energy generation has an attractive ecological efficiency of 99.98%. This research provides novel and pertinent data for investors contemplating gasification-based energy projects in Bangladesh. It pioneers a path toward eco-friendly waste management, reduced greenhouse gas emissions, and the adoption of sustainable energy solutions for the country.

Technical analysis of a novel economically mixed CO2-Water enhanced geothermal system

Geothermal energy has undoubtedly been considered a promising low-carbon resource in future energy supply responding to the rising energy demand and severe climate concerns. CO2 has been demonstrated as a comparable alternative for water in developing an Enhanced geothermal system (EGS), which simultaneously unlocks the potential to sequester CO2 against climate concerns. However, an earlier thermal breakthrough is always observed owing to higher mobility in geothermal reservoirs for CO2-EGS, and an expensive cost of CO2 consumption makes CO2-EGS challenging to achieve economic profitability. In this study, a novel CO2-water-EGS is proposed to investigate the feasibility of solving the obstacles in conventional EGSs. An integrated analysis for multiple EGS scenarios is carried out from both the technical and economic perspectives. The effects of a CO2-water ratio, an injection rate and a flow scheme are comprehended. Followed by the determination of an optimal operating strategy. In the results, by reasonably selecting a CO2 mass ratio and an injection rate, CO2-water-EGS can recover more geothermal energy and earn more profits than water-EGS and CO2-EGS. The injection rate shows positive correlations to heat mining, carbon storage, and economic performance, while the impact of a flow scheme is negligible when the total volume of injected fluids remains consistent. From the optimization study, the CO2-water-EGS with the 110 kg/s injection rate and 20%wt CO2 ratio shows the highest Net Present Value (NPV) of 42.4 M$. This study proposes theoretical guidance to operators in their decision-making processes on the development of CO2-water-EGS.

Comprehensive life cycle assessment of NH2-functionalized magnetic graphene oxide for mercury removal: Carbon emissions and economic evaluation

Heavy metals contamination critically affects human health and ecosystems, necessitating pioneering approaches to diminish their adverse impacts. Hence, this study synthesized aminated magnetic graphene oxide (mGO-NH2) for the removal of mercury (Hg) from aqueous solutions. Although functionalized GO is an emerging technology at the early stages of development, its synthesis and application require special attention to the eco-environmental assessment. Therefore, the life cycle assessment and life cycle cost of mGO-NH2 were investigated from the cradle-to-gate approach for the removal of 1 kg Hg. The adsorption process was optimized based on pH, Hg concentration, adsorbent dose, and contact time at 6.48, 40 mg/l, 150 mg/l, and 35 min, respectively, resulting in an adsorption capacity of 184.17 mg/g. Human carcinogenic toxicity with a 40.42% contribution was the main environmental impact, relating to electricity (35.76%) and ethylenediamine (31.07%) usage. The endpoint method also revealed the pivotal effect of the mGO-NH2 synthesis on human health (90.52%). The most energy demand was supplied by natural gas and crude oil accounting for 70.8% and 22.1%, respectively. A 99.02% CO2 emission originated from fossil fuels consumption based on the greenhouse gas protocol (GGP). The cost of mGO-NH2 was about $143.7/kg with a net present value of $21064.8 per kg Hg removal for a 20-year lifetime. Considering the significant role of material cost (>70%), the utilization of industrial-grade raw materials is recommended to achieve a low-cost adsorbent. This study demonstrated that besides the appropriate performance of mGO-NH2 for Hg removal, it is essential that further studies evaluate eco-friendly approaches to decrease the adverse impacts of this emerging product.

Electricity and hydrogen cogeneration: A case study simulation via the Aspen plus tool

The focus of the current study is on a cogeneration unit designed to produce both electricity and hydrogen, which is made up of a parabolic trough collectors’ field associated with a storage tank, a recuperative organic Rankine cycle module, and a proton exchange membrane water electrolyzer. The latter system operates using electricity generated by the organic Rankine cycle to produce hydrogen, which can subsequently be used as either a fuel or a storage medium for seasonal storage. The study begins with a thermodynamic investigation under both steady-state and dynamic conditions. The solar field is simulated using the Engineering Equation Solver, while the organic Rankine cycle and the electrolyzer are modeled in Aspen Plus. The analysis extends to economic and environmental evaluations, along with an optimization procedure based on techno-economic criteria. Regarding the optimum design case, the annual net electricity yield is determined at 333.8 MWh, the yearly hydrogen production amount is equal to 6236.6 kg, while the yearly energy efficiency is calculated at 14.9% and the yearly exergy efficiency at 15.9%. Finally, the economic investigation indicates the net present value is about 645,555 €, while the system contributes to saving 198.1 tnCO2-eq during the yearly operation.