Cost Of Electricity Research Articles

Agricultural irrigation development in Castilla y León (Spain): driving forces and outcomes for landscape and sustainability in the 21st century

ContextAgriculture relies on irrigation in many parts of the world, and the need for irrigation is increasing due to rising demands for agricultural products and climate change-induced alterations in rainfall patterns. However, irrigated agriculture has been found to damage ecosystems and threaten landscape sustainability.ObjectivesAgainst this background, there has been a recent development towards large-scale irrigation in Spain. The aim of this study is to understand this development at the landscape level and its impact in the context of landscape sustainability.MethodsWe focused on two study sites in Castilla y León using a mixed-methods approach. We studied driving forces, landscape changes, and sustainability outcomes through document analysis, interviews, and aerial photograph analysis.ResultsThe development of a landscape-level underground pipe network took place at one study site and is planned for the second study site. Interviewees perceived institutional and social driving forces as particularly influential and technological driving forces as less influential. Political and economic driving forces were often interlinked. The irrigation development tied to land consolidation led to landscape changes, such as the removal of trees and increases in field size. Thus, in terms of environmental sustainability, trade-offs were found, while social sustainability outcomes were mainly positive. The impact on farmers’ economic security varied.ConclusionsFor further landscape-level irrigation developments, we recommend integrating preserving seminatural habitats and the structural diversity of the agricultural landscape in planning processes. We also recommend a shift towards more water efficient crops, evapotranspiration management, and a new funding scheme for farmers to offset rising electricity costs.

The reflections on energy costs and efficacy problems of modern LED lamps

Currently the technology of electroluminescent light sources has undoubtedly dominated the lighting market and LED lamps are replacing the traditional light sources which are being withdrawn from the market. Powering light-emitting diodes requires the use of the appropriately selected power supply systems. All power supply solutions use electronics, mainly voltage converters, which can generate much capacitive reactive power that may cause a contractual penalty in settling electricity costs. Therefore, using LED lamps may lead to an unnecessary increase in electricity bills. This paper presents the basic information about modern types of LED lamps with the Edison E27 base. The definition and basic requirements for the power factor for LED lamps and problems related to it are also discussed. The basic electrical and photometric parameters were measured for the selected 77 samples of LED lamps available on the market in 2023. The conducted research has shown that the average luminous efficacy of LED lamps with the power ranging from 4 W to 20 W is 105 lm/W. However, the power factor most often ranges from 0.5 to 0.6 (68 % of cases). The novelty of this paper is related to presenting the complete operation costs of LED lamps considering reactive energy. In the case of the conducted research, on average, a five-fold increase in the costs of using the LED lamp in an annual cycle was proved. It is mainly related to the low power factor issue and the requirements of this parameter needing to be more restrictive. Therefore, the need to introduce alternative, more stringent requirements related to the power factor of LED lamps was proven and proposed. The new approach to the definition of the luminous efficacy of an LED lamp by referring to its power factor or apparent power as well as tips helpful to users choosing an LED lamp, can also be found in this paper.

Data-Driven Day-Ahead Dispatch Method for Grid-Tied Distributed Batteries Considering Conflict Between Service Interests

The rapid advancement of battery technology has drawn attention to the effective dispatch of distributed battery storage systems. Batteries offer significant benefits in flexible energy supply and grid support, but maximising their cost-effectiveness remains a challenge. A key issue is balancing conflicts between intentional network services, such as energy arbitrage to reduce the overall electricity costs, and unintentional services, like fault-induced unintentional islanding. This paper presents a novel dispatch methodology that addresses these conflicts by considering both energy arbitrage and unintentional islanding services. First, demand profiles are clustered to reduce uncertainty, and uncertainty sets for photovoltaic (PV) generation and demand are derived. The dispatch strategy is originally formulated as a robust optimal power flow problem, accounting for both economic benefits and risks from unresponsive islanding requests, alongside energy loss reduction to prevent a battery-induced artificial peak. Last, this paper updates the objective function for adapting possible long-run competition changes. The IEEE 33-bus system is utilised to validate the methodology. Case studies show that, by considering the reserve for possible islanding requests, a battery with limited capacity will start to discharge after a demand drop from the peak, leading to the profit dropping from USD 185/day (without reserving capacity) to USD 21/day. It also finds that low-resolution dynamic pricing would be more appropriate for accommodating battery systems. This finding offers valuable guidance for pricing strategies.

Low-carbon economic optimization strategy for industrial loads in parks considering source-load-price multivariate uncertainty

A low-carbon economic optimization method is proposed for industrial loads in parks considering multivariate uncertainty. Model of dynamic load node carbon intensity is proposed considering the uncertainty of clean energy and dynamic conventional units carbon intensity based on system currents. The robustness is improved based on multi-interval uncertainty set. The gap is filled by hybrid copula model with Generalized Autoregressive Conditional Heteroskedasticity (GARCH) prices in the uncertainty model. The GARCH is used to built the marginal distribution function of prices, and a hybrid copula model is proposed to obtain the joint probability density function based on the weights calculated by Euclidean distance. The LNCI probability distributions of the regulation potential of loads are proposed with the virtual energy storage and the virtual power model to improve the descriptive ability of uncertainty based on the expansion and contraction functions. Finally, the typical scenarios are extracted based on Monte Carlo and Wasserstein measures. The Column sum Constraint Generation algorithm and strong duality theory are used to get the robust-stochastic optimization. The method proposed in the paper has a positive effect on enterprises to rationalize their production schedules, reduce electricity and carbon emissions costs and increase the revenue from participating in grid regulation.

Global techno-economic analysis of MBR for hospital wastewater treatment

This study comprehensively examines and characterizes global membrane bioreactor (MBR) practices for hospital wastewater treatment, focusing on development trends, technical performance (pollutant removal and carbon emissions), and economic costs, including both capital expenditures (CAPEX) for civil engineering and equipment procurement, and operational expenditures (OPEX) for electricity, membrane replacement, labor, and chemical costs, as well as system footprint. The results show that MBR has been widely used for hospital wastewater treatment for over two decades, with global applications and scales significantly increasing, especially after the COVID-19 pandemic. A notable shift in membrane types has occurred, with hollow fiber membranes dominating before 2010 and flat inorganic membranes gaining prominence after 2020. MBR not only effectively removes conventional pollutants but also greatly reduces pathogens, ARBs and ARGs before disinfection, thus alleviating the subsequent disinfection burden. In addition, MBR is a crucial step in the process of completely removing emerging contaminants (ECs) that pose significant environmental and health risks. The CAPEX of MBR has decreased at the technical level in recent years. MBR requires only 62 % and 21 % of footprint for conventional activated sludge (CAS) and biofilm-based processes, respectively. MBR's land-saving advantage offsets the CAPEX gap with CAS in high land-cost areas. From before 2010 to after 2020, membrane costs saw the largest reduction in OPEX, dropping by 71 %, while electricity consumption saw a 10.71 % reduction, now comparable to biofilm-based processes. Currently, MBR's OPEX (0.158 USD/m3) is only slightly higher than that of biological contact oxidation (0.138 USD/m3). MBR also minimizes sludge production, reducing both treatment costs and associated disposal risks. MBR exhibit minimal concerns of excessive carbon emissions, with a carbon emission intensity (1.11 kg CO2eq·m−3), only slightly higher than biofilm-based processes (0.92 kg CO2eq·m−3). This study demonstrates that MBR is the valuable and practical solution for hospital wastewater treatment, as well as a preferred choice for upgrading existing facilities.

Design and research of high voltage β-Ga2O3 /4H-SiC heterojunction LDMOS

Abstract In recent years, gallium oxide (Ga2O3), one of the ultra-wide band-gap semiconductor materials, has been regarded as one of the most promising materials in the field of high-voltage and high-power electronic devices in the future because of its unique electrical properties and low preparation cost. However, it is difficult for β-Ga2O3 materials to form effective P-type doping, so the PN junction is not formed in most of its power devices, which greatly limits the improvement of its voltage resistance. A novel lateral double-diffused metal-oxide-semiconductor field-effect transistor (LDMOS) is proposed to realize a junction β-Ga2O3 power device and improve the voltage resistance performance of β-Ga2O3 power devices. In this device, a β-Ga2O3 power device with a junction is realized by using P-type 4H-SiC to form a PN junction with N-type β-Ga2O3, and the voltage resistance of the β-Ga2O3 power device is improved. Sentaurus TCAD software was used to simulate the device structure and electrical performance. The device is optimized by adjusting the length of the drift zone, drift zone concentration, SiC channel concentration, and gate oxide thickness. Optimized, the device exhibits a positive threshold voltage of 3.42 V, a breakdown voltage of 2203 V, a specific on-resistance of 7.80 mΩ·cm2, and a power figure of merit of 622 MW/cm2. The results show that the heterojunction device is significant for realizing high-performance junction β-Ga2O3 power devices.

A Study on 128 Slice MDCT unit in a Tertiary Care Teaching Hospital with Special Emphasis on Work Flow and Break-Even Analysis

Purpose: To study the Cost Analysis of 128 Slice MDCT unit in a tertiary care teaching hospital Materials and methods: The study followed a biphasic design, comprising both retrospective and prospective components. The retrospective phase involved a record-based analysis conducted over a 3-month period, while the prospective phase included record review, observational methods, interviews, and material evaluation relevant to the study, carried out over the course of 1 month. Results: The cost of running the 128 Slice MDCT unit, including manpower, was calculated for a 3-month period, with an average of 28 cases per day. The unit handles a total workload of 54 TR (15 TR + 35 TR + 4 TR). Power is supplied by a 120KVA UPS located in the unit's UPS room. Depreciation for the building, with a lifespan of 100 years, is set at 1% of the capital cost. For an area of 51.2 sqm, the construction cost totals Rs 19,18,208/-, with a depreciation cost of Rs 47,955/- over 3 months. According to the CPWD manual, the annual maintenance cost is Rs 5104/- per sq.m., resulting in a maintenance expense of Rs 65,331/-. Additional costs for electricity, water, and linen over the 3-month period were also factored in. The breakeven point for the unit is estimated to be 744 days (approximately 2 years and 14 days). Conclusion: Getting each patient into and out of the procedure room in a timely manner can add minutes and maybe even hours to the daily schedules, allowing for the accommodation of a greater number of cases. Increasing the number of procedures performed per day or week can add to overall income.

Amorphous IrOx nanoparticles on N-doped carbon matrix islands for enhancing proton exchange membrane water electrolysis

The development of an electrocatalyst and electrode that maintain their integrity under a high current density is vital for the advancement of PEMWE. In this context, we develop amorphous iridium oxide (IrOx) anchored on an N-doped carbon matrix island, directly formed on titanium porous transport layer through a simple method consisting of spray coating and pyrolysis. Remarkably, this configuration achieves 10 mA/cm2 current density for oxygen evolution reaction (OER) in acidic electrolyte, with only a 240 mV overpotential required, and the durability of this structure is confirmed by long-term and accelerated stress tests. These merits enable the unit cell to achieve over 6 A/cm2 at 2 V cell voltage without considerable degradation. This catalyst fulfills the requirement of the US Department of Energy’s 2026 target in performance (> 3 A/cm2 at 1.8 V) and in energy efficiency (> 65 %), as well as in the electricity cost for H2 production (US $2.0/kg H2).

Hybrid secure routing and monitoring mechanisms in IoT-based wireless sensor networks using Egret-Harris optimization

ABSTRACT Security is the primary concern when creating security protocols for wireless sensor networks (WSN), which motivates many academics to find security solutions that effectively provide a few benefits, such as low consumption of electricity, flexible communication, and low cost. A few restrictions still remain, including the inability to exactly select the expected cluster, the sensor nodes’ constrained functionality, and their poor efficiency. Thus, Egret-Harris optimization for hybrid secure routing and monitoring mechanisms in IoT-based WSNs (EHO optimized routing protocol in WSN) was introduced in this research. The created EHO algorithm combines the search, fitness function, and hunting phase features from Harris hawks and egrets to determine the best solution among all practical solutions while ensuring safe data transfer from the cluster heads (CHs) to the Base station (BS). Specifically, the EHO-enabled clustering is applied to the suggested model to efficiently choose the ideal group of CHs. Additionally, the EHO algorithm assists in choosing the best possible routes with minimal distance and less delay for facilitating energy-efficient transmission. With 100 nodes analyzed, the suggested EHO-WSN approach without any attacks achieved 22 alive nodes, a delay of 0.10 ms, a normalized energy of 0.346J, and a throughput of 0.64 bps, respectively. Additionally, in the presence of a Sybil attack, the suggested EHO-WSN technique achieves 14, 0.214 J, 0.010 ms, and 0.512 bps for an analysis involving 100 nodes. Compared to previous methods, the suggested EHO-WSN model without attack achieves a delay of 0.07 ms, a throughput of 0.30 bps, an energy of 0.374 J, and 37 alive nodes for 200 node evaluation. For 200 nodes under examination, the EHO-WSN technique yields superior results of attaining 12 alive nodes, a delay of 0.072 ms, a throughput of 0.181 bps, and a normalized energy of 0.330 J even in the presence of the Sybil attack and exceeded other traditional techniques.

Design of a hybrid solar and biomass-based energy system integrated with near-zero energy building: Techno-environment investigation and multicriteria optimization

The current research aims to meet the energy needs of a group of residential buildings in Norway with the least amount of carbon dioxide emission and the greatest amount of renewable energy. The supply side based on the renewable renewable-based energy system is planned and scaled using the real-time data use of domestic hot water (DHW), heating and electricity necessary for the buildings. PVT panels are used in the hybrid solar and biomass-based energy systems to produce both the DHW requirements and the electricity production. The digester is used with the heat pump, which generates heat. A double-effect absorption refrigeration system is also utilized to provide the necessary cooling requirements. On the supply side, the management of the heat streams and the redirection of flows are done using a rule-based regulating system. The whole plant's size is supplied, and the dynamic energy simulation is run. The primary deciding criteria for heating the buildings are the costs of electricity and biomass. The whole system is then optimized depending on operating circumstances, and the outcomes are compared to the design point. PVT may be used to create more than 80% of the yearly DHW. Furthermore, summertime radiation accounts for 64.8% of cooling output since it is more intense and may be converted into cooling energy. Digester/CC also contributes 66.55% of the building's heating, showing that the designers should rely on biomass as wintertime energy costs are higher. The parametric study demonstrates that increasing PVT time and tank capacity has varied effects on efficiency and emissions. Also, On winter days, there was a significant drop in renewable energy generation from summer to autumn, from 82.7 MWh to 28.52 MWh. The optimization results show that at the TOPSIS point, the total cost, efficiency, and emission index are 9.73 $/hr, 36.8%, and 7.75kg/MWh, respectively.

Optimization of a Bayesian Game for Peer-to-Peer Trading among Prosumers under Incomplete Information via a CNN-LSTM-ATT

In modern low-carbon industrial parks, various distributed renewable energy resources are employed to fulfill production needs. Despite the growing capacity of renewable energy generation, a significant portion of the power produced by these renewable resources remains unconsumed, resulting in a waste of resources. Within an industrial park, microgrids that both generate and consume energy resources act as energy prosumers. Peer-to-peer (P2P) trading provides an efficient means of utilizing renewable energy among these energy prosumers, who possess both power generation and consumption capabilities. However, within the current market mechanism, each prosumer retains private information that is not disclosed on the network. To address the issue of incomplete information among multiple prosumers during the decision-making process, we develop a Bayesian game model based on the CNN-LSTM-ATT prediction method for P2P electricity transactions among multiple prosumers. The energy prosumers in each industrial park aim to minimize their energy consumption costs by adjusting strategies that include P2P energy trading and managing thermal loads. Prosumers make decisions on the basis of their own characteristics and estimates of other prosumer characteristics, which are obtained from the joint probability distribution predicted by the CNN-LSTM-ATT method. These decisions are aimed at minimizing each prosumer's electricity costs. The simulation results demonstrate the effectiveness of the Bayesian game model proposed in this study.

Improved binary quantum-based Elk Herd optimizer for optimal location and sizing of hybrid system in micro grid with electric vehicle charging station

In recent times, there has been increasing interest in renewable power generation and electric vehicles within the domain of smart grids. The integration of electric vehicles with hybrid systems presents several critical challenges, including increased power loss, power quality issues, and voltage deviations. To tackle these challenges, researchers have proposed various techniques. Effective management of energy systems is essential for maximizing the benefits of integrating a hybrid system with a microgrid at an electric vehicle charging station. This research specifically aims to optimize the location and sizing of such a hybrid system within the microgrid. Additionally, an improved binary quantum-based Elk Herd optimizer approach is proposed. This approach addresses for optimally managing renewable energy sources and load uncertainty. The proposed system also considers the stochastic nature of electric vehicles and operational restrictions, encompassing diverse charging control modes. The proposed technique performance is implemented in MATLAB platform and compared against existing approaches. The analysis demonstrates the effectiveness in achieving optimal location and sizing for a hybrid system with an electric vehicle charging station. Additionally, the proposed approach contributes to minimizing power loss, electricity costs, and average waiting time. Furthermore, the proposed approach reduces computing time, net present cost, and emissions are 12.5 s, 1.1×106 dollar, 2.21×108 g year−1, respectively.

Techno-economic performance analysis of biomass-to-methanol with solid oxide electrolyzer for sustainable bio-methanol production

The analysis of the technical and economic performance of an integrated biomass to methanol and solid oxide electrolysis process (BtM-SOEC) is studied to find more sustainable process of bio-methanol production. The oil palm empty fruit branch (EFB) which is abundant in Thailand is used as biomass feedstock. Modeling of the BtM-SOEC is done using Aspen Plus. For technical aspects, the production rate of oxygen and hydrogen from the SOEC can be enhanced through an appropriate adjustment of the number of cells and cell temperature. The BtM-SOEC offers higher methanol yield and overall efficiency, while consumes less energy than the conventional biomass to methanol process (BtM). The maximum methanol production rate of 0.4995 kmol h-1 derived from BtM-SOEC is achieved at a number of cells of 325 cells and a cell temperature of 700 oC, at this condition the overall efficiency is 64.79 %. The economic assessment indicates that the conventional BtM and BtM-SOEC are still not economically feasible. However, the conventional BtM is more economically feasible than the BtM-SOEC. The methanol cost of BtM-SOEC can turn out to be economically feasible when renewable electricity cost and SOEC cost decrease substantially. The methanol cost of the BtM-SOEC (620 USD ton-1) can be competitive to that of the BtM (703 USD ton-1) when the cost of input renewable electricity decreases by 80%. Consequently, this research highlights the potential of BtM-SOEC from agricultural residues for sustainable bio-methanol production in the future market condition that the cost of renewable electricity tends to continuously decrease with the technology development and increased technology adoption and the carbon policy tends to be tightened to relieve global warming.

A multi-dimensional comparative study on the performance of algae removal using various flotation

Flotation is considered the most cost-effective and efficient algae-water separation technology. However, there are various flotation techniques for algae removal, such as coagulation-flotation (CF), foam flotation (FF), and positively charged bubble flotation (PF). It remains unclear which method is most suitable for removing algae from water bodies and under what specific conditions each technique is most effective. This study systematically compares CF, FF, and PF in terms of algal cell removal efficiency, concentration ratio, flotation kinetics, impact on algal cells, removal efficiency of algal organic matter (AOM) and microcystins (MC-LR), as well as economic cost analysis. CF is better suited for algae removal in water bodies, including drinking water sources, using fixed installations on shore due to its high removal efficiency, high concentration ratio, low chemical dosage, and minimal residuals. FF is more appropriate for non-drinking water sources as it can remove algae and further control algal growth; however, its residual CTAB may pose a threat to drinking water safety. PF is most suitable for in situ algae removal within water bodies, primarily because it does not require stirring or coagulation. Instead, modified bubbles can be directly introduced into the algal distribution layer, where they adhere to algal cells, facilitating algae-water separation. All three flotation methods are economically feasible for algae removal. For FF, the costs of chemicals and electricity are nearly equal, while for CF and PF, the primary cost is electricity. This study provides data to support the selection of appropriate flotation technologies for emergency removal of algal blooms in water bodies.

Towards a Standardized LCOE Calculation for Informed Decision-Making in Energy Policy and Investment: Application to the Colombian Context

The Levelized cost of electricity - LCOE represents a constant cost per unit of generated electrical energy, resulting from the analysis of the total costs throughout the life cycle of a generation plant. Its widespread use, thanks to its simplicity of calculation and potential of standardization, has made it one of the primary criteria for comparing electricity generation technologies. However, in the pursuit of simplification and generalization, certain aspects associated with the socioeconomic context of the region, as well as accounting and financial concepts, are excluded due to externalities or incentives related to regulatory and fiscal policies. These exclusions affect the accuracy of LCOE and introduce uncertainty when using it as a criterion for investment decision-making or allocation of public resources for the development of renewable sources. This article proposes a clear and standardized methodology for calculating LCOE, which allows for a fair and precise comparison of renewable energy generation options in rural areas. It contributes to informed and transparent decision-making in the fields of energy policy and public investment for expanding electricity service coverage. The proposed methodology is based on the financial cash flow matrix to address variability sources in the calculation, considering the local context of the generation project.

Performance improvements for green hydrogen-ammonia fueled SOFC hybrid system through dead-end anode recirculation and split transcritical CO2 power cycle

This paper proposes a novel green hydrogen-ammonia fueled solid oxide fuel cell (SOFC) hybrid power system by coupling dead-end anode recirculation with split transcritical CO2 power cycle (STCC). The STCC with dual-temperature heaters adopts split heat absorbing concept to recover cathode off-gas waste heat. The thermodynamic and economic performances of novel system are investigated and compared. Furthermore, the impacts of fuel ammonia mixing ratio, cell stack fuel utilization ratio, STCC CO2 split ratio, fuel price etc. on system performance are revealed. The results show that the introduction of STCC results in a 3.96% improvement in total system energy efficiency and a 0.6% reduction in total system levelized cost of electricity (LCOE) compared with standalone dead-end anode recirculated SOFC unit. The extremely high current density is not beneficial to enhance hybrid system thermo-economic performance. For every 0.1 increase in fuel ammonia mixing ratio, total system energy efficiency increases by 0.26∼0.85% and LCOE decreases by 4.6∼7.4%. The optimal STCC CO2 split ratio of recuperator declines with increasing fuel ammonia mixing ratio. Novel hydrogen-ammonia fueled hybrid system offers a high total energy efficiency of 0.7406, and its economic performance advantage over dead-end anode recirculated SOFC declines with decreasing fuel price.

Innovative hybrid energy system for sustainable power generation: Optimization and comprehensive analysis of integrated wind-CAES-SOFC in Beijing

The increasing worldwide need for energy, driven by urbanization and industrialization, necessitates the implementation of efficient and sustainable energy solutions. This research presents a novel hybrid energy system that combines wind turbines, Compressed Air Energy Storage (CAES), and Solid Oxide Fuel Cells (SOFC) to substantially decrease dependence on fossil fuels and mitigate greenhouse gas emissions. The planned system for Beijing, China, leverages the area's wind characteristics to attain a net power production of 474 MWh. The system achieves an exergetic round efficiency of 38.2%, ensuring excellent performance and minimal emissions. The levelized cost of electricity is projected at 108 USD/MWh, with an aggregate cost of 51.4 USD/h. Seasonal variations are significant, with March exhibiting the peak power production of 202.6 MWh and the greatest cost of 174.2 USD/MWh, whilst August has the lowest figures, with power at 105.6 MWh and expenses at 111.6 USD/MWh. The seasonal patterns demonstrate the system's capacity to adjust to wind fluctuations while preserving economic viability. The integration of CAES with SOFC guarantees dependable power production during times of low wind, making the suggested system an efficient and sustainable option for long-term energy requirements.

Organizational and Economic Mechanisms for Promoting Residential Battery Energy Storage Systems in Ukraine

Energy storage technologies are one of the ways to decrease the intermittency of renewable energy such as sun or wind. The article aims to consider the organizational and economic mechanisms of promoting residential battery energy storage systems (R-BESS) in Ukraine, as households have ensured the significant growth of installed capacities of residential PV installations, reaching 1.4 GW by 2024. The energy system of Ukraine faces balancing challenges, and partial covering of the demand for energy by households with the help of R-BESS should be beneficial for the energy system. Using methods of levelized cost of electricity and cost of storing electricity, and based on the projected electricity demand and the number of R-BESS, measures were suggested to stimulate the R-BESS installation. Significant investments are required to employ R-BESS, reaching EUR2024 2.9-3.6 billion by 2050. If the interest rates for loans are subsidized, the expenditures on subsidies will reach only EUR2024 35-44 million, and the households themselves must allocate the remainder of the funds.

A comprehensive analysis of wind power integrated with solar and hydrogen storage systems: Case study of Java's Southern coast

Wind and solar energy are vital to the global transition toward sustainable energy systems, driven by the need to reduce fossil fuel dependence, mitigate climate change, and enhance energy security. This study aims to optimize system performance by integrating hydrogen technology and addressing capacity shortages and excess energy. First, a comprehensive analysis of wind characteristics in a strategically important area to meet unaccomplished Indonesia's 2023 wind energy targets, focusing on Java's southern coast using wind speed data from the System Advisor Model (SAM), was conducted. Four scenarios are then evaluated: wind turbine (WT)-battery energy storage system (BESS), WT-photovoltaic (PV)-BESS, WT-fuel cell (FC)-electrolyzer (EL)-hydrogen tank (H2T), and WT-PV–FC–EL-H2T. Key metrics analyzed include excess energy, Levelized Cost of Electricity (LCOE), Net Present Cost (NPC), capacity shortage (CS), and electrolyzer full-load hours (EFH). Results show that average wind speeds reach 4.2 m/s in Pandeglang, with the WT–FC–EL-H2T system being the most reliable, exhibiting a 5% capacity shortage and 68.5% excess electricity. The WT-PV–FC–EL scenario is the most cost-effective, with a COE of $0.508/kWh and an NPC of $2.6 million. These findings provide valuable insights for improving sustainable energy infrastructure in the region.

Metode Simple Additive Weighting (SAW) pada Pemilihan Jenis Lampu Penerang Jalan Berbasis Photovoltaic

The simple additive weighting method is a decision support system method for various decision selection problems. Many research topics use the SAW method as a reference method in a decision support system. The street lighting control system is very useful for residents of the village of Karanganyar, Paiton, Probolinggo. This lighting is the main spotlight for residents' activities at the village office. Such as August competitions, routine monthly recitations, competitions to commemorate Isra' Mi'raj and the Prophet's birthday. There are many types of lamps in stores. The criteria for lamps are that they have high light illumination, long-lasting light, large bulb size, so that they can help village residents carry out activities at night. This lamp also uses photovoltaic as an additional source of electrical energy so it can save electricity costs to PLN. The solar panel measures 550 x 360 x 25 mm, 20 volts and has a peak power of 20 watts