Renewable Energy Focus最新文献_第3页

Optimising solar energy communities in arctic micro-communities: addressing building azimuth challenges in Finnish Lapland 优化北极微型社区中的太阳能社区：解决芬兰拉普兰建筑方位角的挑战

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus

Pub Date : 2025-12-08 DOI: 10.1016/j.ref.2025.100798

Vinay Shekar, Antonio Calò, Eva Pongrácz

The Energy Performance of Buildings Directive mandates solar photovoltaic installations on new buildings and requires buildings undergoing major renovation to meet their energy needs through significant renewable energy generation. Arctic micro-communities often face dispersed settlements, suboptimal building azimuths, and high heating demands. This paper examines the convergence of the mandate and challenges to determine whether cross-property energy community frameworks can overcome building azimuth constraints in Arctic regions, using three villages in Finnish Lapland: Sinettä, Vanttauskoski, and Vikajärvi. Using 3D building models created with SketchUp and Skelion, the solar energy generation potential was simulated using the NREL PVWatts and JRC PVGIS calculators. Economic viability was assessed through investment cost calculations, annual revenue projections, and payback period analysis. Two scenarios were compared: a traditional approach of installing solar on all roofs, versus a cross-property, energy-community-optimised approach focusing on installations on optimally oriented roofs with energy sharing. Results show that while Scenario (1) could generate nearly 1890 MWh annually, it incurs 8–12 % energy losses due to suboptimal azimuths, extending payback periods by 2–3 years; Scenario (2) achieves higher efficiency and improves economic viability with a lower payback period, despite lower total generation. The solar coverage of non-heating electricity ranges from 42 % to 60 %, but drops to 12–18 % when heating is included, emphasising the need for complementary heating solutions. This research concludes that cross-property energy community frameworks combining solar PV deployment with complementary heating solutions, supported by municipal “Champion” entities and solar-aware zoning for future developments, can effectively optimise Arctic solar deployment.

《建筑物能源性能指令》要求在新建筑物上安装太阳能光伏装置，并要求正在进行重大翻新的建筑物通过大量可再生能源发电来满足其能源需求。北极微社区经常面临分散的定居点、次优的建筑方位角和高供暖需求。本文以芬兰拉普兰的三个村庄（Sinettä、Vanttauskoski和Vikajärvi）为例，考察了任务和挑战的趋同性，以确定跨属性能源社区框架是否可以克服北极地区建筑方位角的限制。利用SketchUp和Skelion创建的3D建筑模型，使用NREL PVWatts和JRC PVGIS计算器模拟太阳能发电潜力。通过投资成本计算、年度收入预测和投资回收期分析来评估经济可行性。两种方案进行了比较：一种是在所有屋顶上安装太阳能的传统方法，另一种是跨物业、能源社区优化的方法，重点是在面向最佳方向的屋顶上安装能源共享。结果表明，虽然方案(1)每年可产生近1890兆瓦时，但由于次优方位角，它会产生8 - 12%的能量损失，将投资回收期延长2-3年；尽管总发电量较低，但方案(2)以较短的投资回收期实现了更高的效率和经济可行性。非供暖电力的太阳能覆盖率从42%到60%不等，但如果包括供暖，则下降到12 - 18%，这强调了补充供暖解决方案的必要性。这项研究的结论是，将太阳能光伏部署与互补供暖解决方案相结合的跨物业能源社区框架，在市政“冠军”实体和未来发展的太阳能意识分区的支持下，可以有效地优化北极太阳能部署。

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引用次数: 0

Evaluating the impact of a multi-objective trading decision optimizer on community energy markets performance 评估多目标交易决策优化器对社区能源市场绩效的影响

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus

Pub Date : 2025-12-07 DOI: 10.1016/j.ref.2025.100791

Amin Zakhirehkar Sahih , Milad Ghasri , Ali Ahrari

This paper presents the first community-wide assessment of how prosumer decision-making optimizers affect local renewable energy markets. To capture realistic individual behavior, we develop a Multi-objective Trading Decision Optimizer (MO-TDO) that enables prosumers to schedule flexible loads by jointly considering electricity cost and convenience. Using this tool, we evaluate the broader impacts of MO-TDO adoption across three community-scale market-clearing mechanisms: the Uniform Price Double Auction (UPDA), the Innovative Coalition Business Model (ICBM), and the Hybrid Auction-Coalition (HAC). A discrete-event simulation of 100 Australian households is conducted under varying adoption rates, with outcomes measured in terms of community electricity bills, local matching efficiency, peak-load reduction, equity of profit distribution, and carbon emissions. Results show that increasing MO-TDO adoption consistently improves community outcomes across all markets. HAC most frequently achieves the lowest electricity bills, ICBM delivers the most significant peak-load reductions and maintains fairness in profit distribution, while UPDA provides only moderate cost benefits but greater inequality. By linking prosumer-level optimization with system-level outcomes, this study highlights how advanced decision-making tools can shape community-scale performance and provides actionable insights for policymakers and operators in designing local energy markets.

本文提出了产消决策优化器如何影响当地可再生能源市场的第一个社区范围的评估。为了捕获真实的个体行为，我们开发了一个多目标交易决策优化器（MO-TDO），使生产消费者能够在综合考虑电力成本和便利性的情况下安排灵活的负荷。利用这一工具，我们评估了在三种社区规模的市场清算机制中采用MO-TDO的更广泛影响：统一价格双重拍卖（UPDA）、创新联盟商业模式（ICBM）和混合拍卖联盟（HAC）。在不同的采用率下，对100个澳大利亚家庭进行了离散事件模拟，并从社区电费、当地匹配效率、高峰负荷减少、利润分配公平和碳排放等方面衡量了结果。结果表明，增加MO-TDO的采用持续改善了所有市场的社区成果。HAC最常实现最低的电费，洲际弹道导弹提供了最显著的峰值负荷削减，并保持了利润分配的公平性，而UPDA只提供了中等的成本效益，但更大的不平等。通过将消费者层面的优化与系统层面的结果联系起来，本研究强调了先进的决策工具如何影响社区规模的绩效，并为决策者和运营商设计当地能源市场提供了可操作的见解。

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引用次数: 0

Time-varying effects of policy uncertainty on supply chain market connectivity in Chinese photovoltaic industry 政策不确定性对中国光伏产业供应链市场连通性的时变影响

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus

Pub Date : 2025-12-04 DOI: 10.1016/j.ref.2025.100792

Junhui Li , Yanqiong Zhao , Shiquan Dou , Yongguang Zhu , Deyi Xu

The transition to renewable energy is essential to address global environmental challenges. Central to this shift, the photovoltaic (PV) industry is vital for achieving low-carbon goals. Supported by government policies, China’s PV sector has led the world in newly installed capacity for a decade. However, the impact of policy uncertainty on the interconnected dynamics of the PV supply chain remains underexplored. This study uses a Time-Varying Parameter Vector Autoregression (TVP-VAR) model and Granger causality tests to analyze dynamic price dependencies within the Chinese PV supply chain. The results reveal midstream markets as net shock receivers, while upstream markets act as primary transmitters. Economic and trade policy uncertainties significantly and asymmetrically influence market connectivity, with economic policy uncertainty having a stronger impact. These findings highlight the critical role of policy frameworks in shaping supply chain dynamics and resilience. By offering a nuanced understanding of price interdependencies and temporal variations in spillovers, this research provides actionable insights for policymakers and stakeholders. It supports strategic decision-making to promote sustainable development and investment in China’s PV sector while addressing the challenges posed by policy-induced risks.

向可再生能源过渡对于应对全球环境挑战至关重要。作为这一转变的核心，光伏（PV）产业对于实现低碳目标至关重要。在政府政策的支持下，中国光伏行业的新增装机容量已经领先世界十年。然而，政策不确定性对光伏供应链互联动态的影响仍未得到充分探讨。本研究采用时变参数向量自回归（tpv - var）模型和格兰杰因果检验来分析中国光伏供应链的动态价格依赖关系。结果表明，中游市场是净冲击接受者，而上游市场是主要的发射器。经贸政策不确定性对市场连通性影响显著且不对称，其中经济政策不确定性影响更大。这些发现突出了政策框架在塑造供应链动态和弹性方面的关键作用。通过对价格相互依赖性和溢出效应的时间变化提供细致入微的理解，本研究为政策制定者和利益相关者提供了可行的见解。它支持战略决策，以促进中国光伏行业的可持续发展和投资，同时应对政策风险带来的挑战。

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引用次数: 0

Generalized model-predictive control for supercapacitor and superconducting magnetic energy storage systems 超级电容器和超导磁储能系统的广义模型预测控制

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus

Pub Date : 2025-12-03 DOI: 10.1016/j.ref.2025.100795

Juan-Camilo Oyuela-Ocampo , Alejandro Garcés-Ruiz , Walter Gil-González

The integration of renewable energy sources requires efficient and reliable energy storage systems to stabilize grid operation and address the inherent variability of this type of generation. This study focuses on electric energy storage systems (EESS), which encompass supercapacitor energy storage (SCES) and superconducting magnetic energy storage (SMES). Leveraging their shared structural properties, it is possible to propose a unified modeling framework. A model predictive control (MPC) strategy is developed within this framework, offering precise regulation of active and reactive power while ensuring system stability. The proposed strategy incorporates a discrete bilinear model and a one-step control horizon to optimize performance under dynamic operating conditions. Numerical simulations demonstrate the proposed MPC approach’s effectiveness in reducing power oscillations, enhancing response dynamics, and maintaining grid stability in scenarios with variable loads, renewable energy fluctuations, and a three-phase fault in microgrid. The proposed control is compared to conventional strategies, showing superior performance with faster adaptation and fewer oscillations. Quantitative results based on standard performance indices (IAE, ITAE, ITSE,

T_{s}

, and

M_{p}

) further confirm the superior transient and steady-state behavior of the proposed MPC strategy. In addition, passivity and stability are formally guaranteed via the Lyapunov theorem.

可再生能源的整合需要高效可靠的储能系统来稳定电网运行，并解决这类发电的内在可变性。本研究的重点是电力储能系统（EESS），包括超级电容器储能（SCES）和超导磁能储能（SMES）。利用它们共享的结构属性，可以提出统一的建模框架。在此框架内开发了模型预测控制（MPC）策略，在确保系统稳定性的同时提供精确的有功和无功调节。该策略采用离散双线性模型和一步控制水平来优化动态工况下的性能。数值模拟结果表明，在负荷变化、可再生能源波动和微电网三相故障情况下，MPC方法在减少功率振荡、增强响应动力学和保持电网稳定性方面是有效的。与传统控制策略相比，该方法具有自适应快、振荡小等优点。基于标准性能指标（IAE、ITAE、ITSE、Ts和Mp）的定量结果进一步证实了所提出的MPC策略具有优越的瞬态和稳态性能。此外，通过李亚普诺夫定理正式保证了系统的无源性和稳定性。

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引用次数: 0

Active power control for managing ramp events in NCR power plants within small-scale power systems 小型电力系统中NCR电厂匝道事件管理的有功功率控制

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus

Pub Date : 2025-12-03 DOI: 10.1016/j.ref.2025.100796

N.T. Senarathna , S.P. Somathilaka , H.M. Wijekoon Banda , K.T.M.U. Hemapala

Paper addresses the challenge of managing ramp events in non-conventional renewable (NCR) plants within small-scale, isolated power systems with high renewable energy penetration. Approach integrates real-time monitoring of generation, storage availability, and system dynamics to regulate power output effectively. Simulation-based methodology is employed to analyze system behavior during solar ramp events under varying NCR penetration levels. Results are used to determine the maximum ramp rate a power system can withstand, while maintaining operational margins. Novel Active Power Control (APC) strategy is proposed to mitigate power intermittency, enhance system stability and reliability, and achieve given ramp limits within system constraints, supported by storage sizing model based on 100 diverse generation scenarios. Findings demonstrate the effectiveness of the proposed APC system in managing ramp events in 94% of cases, with recommended storage capacity of 125% of plant’s rated output to cover 95% of typical generation patterns. Solution offers technically robust pathway for improving reliability of small-scale power systems with significant renewable integration.

本文解决了在具有高可再生能源渗透率的小型孤立电力系统中管理非常规可再生能源（NCR）电厂坡道事件的挑战。该方法集成了发电、存储可用性和系统动态的实时监测，以有效地调节功率输出。采用基于仿真的方法分析了不同NCR渗透水平下太阳斜坡事件中的系统行为。结果用于确定电力系统可以承受的最大斜坡速率，同时保持运行边际。提出了一种新的有功功率控制（APC）策略，在基于100种不同发电场景的存储规模模型的支持下，缓解电力间歇性，提高系统稳定性和可靠性，并在系统约束条件下实现给定的斜坡限制。研究结果表明，拟议的APC系统在94%的情况下管理斜坡事件的有效性，建议的存储容量为工厂额定输出的125%，覆盖95%的典型发电模式。解决方案为提高具有重要可再生能源集成的小型电力系统的可靠性提供了技术上可靠的途径。

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引用次数: 0

A sustainable power management solution integrated with fuel cell based hybrid energy storage system in variable climate conditions 在可变气候条件下，与基于燃料电池的混合能源存储系统集成的可持续电源管理解决方案

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus

Pub Date : 2025-12-02 DOI: 10.1016/j.ref.2025.100797

Debabrata Mazumdar , Josep M. Guerrero , Nishant Thakkar , Anand R. , Chiranjit Sain , Taha Selim Ustun

The current age has seen a growing reliance on HSES including fuel cells, solar, and wind with the goal of lowering global warming, the greenhouse effect, and reliance on fossil fuels. An efficient management technique that incorporates a hybrid energy storage alternative is presented here to develop a self-sufficient and sustainable energy system. The suggested system incorporates all four-energy storage and generating techniques: batteries, fuel cells, photovoltaic, and super-capacitors. This study suggests an EMS with an ANFIS controller, a Zeta converter, and a ZOA-based MPPT for fuel cell regulation in a micro grid that consists of photovoltaic, fuel cells, batteries, and super-capacitors. Effective power sharing, enhanced DC-bus voltage stability, and quick dynamic response under varying load and ambient conditions are all guaranteed by the suggested architecture. In comparison to FSSO, MPA and GWO algorithms, simulation findings show that ZOA-based MPPT achieves 30–45 % faster convergence and 8–10 % higher energy extraction, with steady-state oscillations below 1.8 %. In addition to ensuring seamless coordination with the battery and super-capacitor, the ANFIS controller keeps the fuel-cell voltage at 300 ± 2 V. Compared to traditional boost converter topologies, the integrated control system stabilizes the DC-bus voltage within ±2 % and minimizes ripple content by about 30 %. A damping ratio of 0.83 and a settling time of less than 0.25 seconds are confirmed by stability analysis, demonstrating robustness and strong dynamic stability against changes in the parameters. These results demonstrate the system’s capacity to operate dependably and efficiently in both independent and grid-connected hybrid energy applications.

当今时代，人们越来越依赖燃料电池、太阳能和风能等HSES，其目标是降低全球变暖、温室效应和对化石燃料的依赖。本文提出了一种结合混合储能替代方案的高效管理技术，以开发自给自足和可持续的能源系统。建议的系统结合了所有四种能量存储和发电技术：电池、燃料电池、光伏和超级电容器。本研究提出了一种具有ANFIS控制器、Zeta转换器和基于zoa的MPPT的EMS，用于由光伏、燃料电池、电池和超级电容器组成的微电网中的燃料电池调节。该架构保证了有效的功率共享、增强的直流母线电压稳定性以及在不同负载和环境条件下的快速动态响应。仿真结果表明，与FSSO、MPA和GWO算法相比，基于zoa的MPPT算法收敛速度提高30 - 45%，能量提取速度提高8 - 10%，稳态振荡低于1.8%。除了确保与电池和超级电容器的无缝协调外，ANFIS控制器还将燃料电池电压保持在300±2 V。与传统升压转换器拓扑结构相比，集成控制系统将直流母线电压稳定在±2%以内，并将纹波含量减少约30%。稳定性分析证实阻尼比为0.83，沉降时间小于0.25秒，对参数变化具有鲁棒性和较强的动稳定性。这些结果证明了该系统在独立和并网混合能源应用中可靠高效运行的能力。

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引用次数: 0

Hybrid stochastic-robust optimization for smart parking lot trading with local electricity markets under a decentralized framework with renewable energy integration 分布式可再生能源集成框架下智能停车场与本地电力市场交易的混合随机-鲁棒优化

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus

Pub Date : 2025-11-28 DOI: 10.1016/j.ref.2025.100794

Asma Nasiri , Nima Nasiri , Behnam Mohammadi-Ivatloo , Mehdi Abapour , Sajad Najafi Ravadanegh

This paper presents a hybrid stochastic-robust optimization approach for trading smart parking lots (SPL) with the local electricity market (LEM) within a decentralized scheduling framework and considering the renewable energy sources (RES) participation. In the proposed structure, the smart parking operator aims to minimize operating costs by submitting offers/bids to the LEM. Additionally, the impact of implementing smart charging strategies in the trading process of SPLs with the LEM is discussed. Dischargin profle of SPLs have been modeled using the k-means clustering method and considering the uncertain behavior of electric vehicle (EV) owners. The aim of the LEM operator is to clear the electricity market while considering the physical constraints of the electricity distribution network (EDN), fluctuations in wholesale electricity market (WEM) prices, and the uncertain behavior of RES. In this study, the uncertain behavior of WEM price and RES is modeled by robust optimization (RO) and stochastic programming (SP), respectively. To implement energy trade between SPLs and the LEM, alternating direction method of multipliers (ADMM) algorithm has been used in the framework of decentralized optimization. The proposed problem is formulated as a second-order conic programming (SOCP) model, leveraging the benefits of convex optimization and efficiently solved using the MOSEK solver. Solving the proposed hybrid optimization problem using the ADMM algorithm leads to a robust solution, which enables trade between SPLs and the LEM while respecting privacy. The results show that implementing a smart electric vehicle charging strategy leads to a 59.18%, 8.56%, and 11.23% reduction in the first to third parking lots. In addition, implementing the smart charging strategy also reduces the operating costs of LEM by 0.3%.

在分散调度框架下，考虑可再生能源的参与，提出了智能停车场（SPL）与本地电力市场（LEM）交易的一种混合随机-鲁棒优化方法。在拟议的结构中，智能停车运营商的目标是通过向LEM提交报价/投标来最大限度地降低运营成本。此外，还讨论了在与LEM交易过程中实施智能充电策略的影响。采用k-均值聚类方法，考虑电动汽车车主行为的不确定性，建立了电动汽车排放曲线模型。LEM运营商的目标是在考虑配电网（EDN）的物理约束、批发电力市场（WEM）价格波动和RES的不确定性行为的情况下清理电力市场。在本研究中，WEM价格和RES的不确定性行为分别采用鲁棒优化（RO）和随机规划（SP）建模。为了实现SPLs与LEM之间的能量交易，在分散优化框架下采用了乘法器的交替方向法（ADMM）算法。该问题被表述为二阶二次规划（SOCP）模型，利用凸优化的优点，并使用MOSEK求解器有效地求解。使用ADMM算法解决所提出的混合优化问题可以得到一个鲁棒的解决方案，该解决方案可以在尊重隐私的情况下实现SPLs和LEM之间的交易。结果表明，实施智能充电策略后，第一到第三停车场分别减少59.18%、8.56%和11.23%。此外，实施智能充电策略也使LEM的运营成本降低了0.3%。

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引用次数: 0

Reliability-oriented AC/DC hybrid distribution network planning: A risk-constrained approach 面向可靠性的交直流混合配电网规划：一种风险约束方法

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus

Pub Date : 2025-11-22 DOI: 10.1016/j.ref.2025.100790

Zahra Esmaeilzadeh, Hamid Falaghi, Maryam Ramezani

The rising share of direct current (DC) loads and DC-based distributed generations (DGs) challenges the efficiency of alternating current (AC) distribution networks, thereby making hybrid AC/DC distribution networks a more flexible and economical solution. However, uncertainties in AC and DC load demands and renewable DG outputs can lead to violations in bus voltage and line loading limits, which introduces significant risks. The proposed plan includes modeling the security constraints of the problem as a combination of hard and soft constraints. Hard constraints represent strict technical requirements that must be satisfied, whereas soft constraints allow limited violations and are modeled as penalty costs associated with bus voltage deviation and line overload. These penalties are included in the objective function to internalize the cost of risk. The conditional value at risk (CVaR) criterion is employed to quantify and control risk under uncertainty. Ensuring network reliability is a critical aspect of distribution network planning, as it directly influence service continuity and overall operational resilience. Network reliability is modeled through the inclusion of outage-related costs. The overall objective function consists of investment costs, operation costs, and risk. Both risk-averse and risk-seeking strategies are examined by adjusting the weight of the CVaR component. The effectiveness of the proposed methodology is demonstrated using a test distribution network, and a sensitivity analysis is conducted on the planning problem considering both risk and reliability simultaneously under factors such as confidence level, load interruption cost, equipment cost, converter efficiency, and equipment failure rates.

随着直流（DC）负载和基于直流的分布式发电（dg）份额的不断增加，对交流（AC）配电网的效率提出了挑战，从而使交直流混合配电网成为一种更加灵活和经济的解决方案。然而，交流和直流负载需求以及可再生DG输出的不确定性可能导致违反母线电压和线路负载限制，从而引入重大风险。建议的计划包括将问题的安全约束建模为硬约束和软约束的组合。硬约束表示必须满足的严格技术要求，而软约束允许有限的违规，并建模为与母线电压偏差和线路过载相关的惩罚成本。这些惩罚包含在目标函数中，以内部化风险成本。采用条件风险值（CVaR）准则对不确定条件下的风险进行量化和控制。确保配电网的可靠性是配电网规划的一个关键方面，因为它直接影响到服务的连续性和整体运行的弹性。网络可靠性是通过包含与中断相关的成本来建模的。总体目标函数包括投资成本、运营成本和风险。通过调整CVaR分量的权重来检验风险规避和风险寻求策略。通过一个配电网试验验证了该方法的有效性，并在置信度、负荷中断成本、设备成本、变流器效率和设备故障率等因素的影响下，对同时考虑风险和可靠性的配电网规划问题进行了敏感性分析。

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引用次数: 0

Techno-economic feasibility of hybrid renewable energy systems for continuous demand coverage at the provincial level in South Korea 韩国混合可再生能源系统持续覆盖省级需求的技术经济可行性

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus

Pub Date : 2025-11-19 DOI: 10.1016/j.ref.2025.100788

Abdulfatai Olatunji Yakub , Noel Ngando Same , Deepak Chaulagain , Abdullahi Yahaya , Abdulhameed Babatunde Owolabi , Anthony Fon Tangoh , Dongjun Suh , Jong Wook Roh , Jeong Ok Lim , Jeung-Soo Huh

This study concerns the need to provide alternatives to the current regime of fossil-fuel energy toward achieving net zero CO2 emissions and limiting the rise in global average temperatures. Here, we focus on the development of hybrid renewable energy systems (HRESs), which combine wind energy, photovoltaic systems, and energy storage to meet the growing demand for renewable energy in South Korea. In this study, the Multi-Objective Particle Swarm Optimization algorithm is utilized with an HRES to determine the optimal HRES configuration, evaluated by measuring the net present cost while ensuring that energy demand can be reliably met. We find that solar photovoltaic will yield grid parity in nearly 94.4 % of the regions examined throughout South Korea by 2030, indicating its cost-effectiveness over wind power. However, the most optimal HRES configuration over most of South Korea is the WT-PV-ESS configuration, which combines wind turbines, photovoltaic systems, and universal energy storage, providing the most cost-effective solution. We believe that this study will lay the foundation for further investigation into the analysis and optimization of renewable energy sources in South Korea, paving the way toward reaching our energy goals.

这项研究关注的是，为实现二氧化碳净零排放和限制全球平均气温上升，需要提供替代目前化石燃料能源体制的能源。在这里，我们重点关注混合可再生能源系统（HRESs）的发展，它结合了风能、光伏系统和能源存储，以满足韩国对可再生能源日益增长的需求。在本研究中，利用多目标粒子群优化算法和HRES来确定最优的HRES配置，通过测量净当前成本来评估，同时确保能够可靠地满足能源需求。我们发现，到2030年，太阳能光伏发电将在韩国近94.4%的地区实现电网平价，这表明它比风能更具成本效益。然而，在韩国大部分地区，最理想的HRES配置是WT-PV-ESS配置，它结合了风力涡轮机、光伏系统和通用储能系统，提供了最具成本效益的解决方案。我们相信，这项研究将为进一步调查分析和优化韩国可再生能源奠定基础，为实现我们的能源目标铺平道路。

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引用次数: 0

A Soft Systems Methodology for Renewable Energy Research in the Built Environment: A Case Study of Coloured Solar Photovoltaics in Luxembourg 建筑环境中可再生能源研究的软系统方法论：卢森堡彩色太阳能光伏案例研究

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus

Pub Date : 2025-11-18 DOI: 10.1016/j.ref.2025.100789

Alexander Skinner, Catherine Jones

Integrating photovoltaics into the built environment requires navigating technical, aesthetic, and social complexities, particularly in dense urban contexts. Coloured photovoltaics offer potential to improve visual integration, but their adoption is influenced by performance trade-offs, policy frameworks, and local urban conditions. This paper presents an Integrated Assessment Process (IAP) developed to evaluate coloured photovoltaics within these complex settings.

The IAP was structured through the application of Soft Systems Methodology (SSM), providing a way to capture and connect the diverse factors shaping deployment. Using Luxembourg as a case study, the process combines technical assessment of coloured photovoltaic prototypes, spatial analysis of urban morphology, policy and regulatory review, and insights from stakeholders. The results highlight key tensions between visual quality and energy output, as well as the influence of heritage protection rules, fragmented ownership, and built form constraints on implementation potential.

By aligning technological evaluation with urban planning considerations and social perspectives, the IAP offers a holistic framework to guide the integration of coloured photovoltaics in the built environment. The Luxembourg case study illustrates how this approach can reveal context-specific pathways to overcome barriers and support wider adoption. The findings contribute to ongoing efforts to balance technical feasibility, public acceptance, and urban realities in renewable energy transitions.

将光伏集成到建筑环境中需要在技术、美学和社会复杂性方面进行导航，特别是在密集的城市环境中。彩色光伏提供了改善视觉整合的潜力，但其采用受到性能权衡、政策框架和当地城市条件的影响。本文提出了一种综合评估过程（IAP），用于评估这些复杂设置中的彩色光伏。IAP是通过软系统方法论（SSM）的应用来构建的，提供了一种捕获和连接影响部署的各种因素的方法。以卢森堡为例，该过程结合了彩色光伏原型的技术评估、城市形态的空间分析、政策和监管审查以及利益相关者的见解。结果强调了视觉质量和能量输出之间的关键紧张关系，以及遗产保护规则、分散所有权和建筑形式对实施潜力的限制的影响。通过将技术评估与城市规划考虑和社会观点结合起来，IAP提供了一个整体框架来指导彩色光伏在建筑环境中的整合。卢森堡的案例研究说明了这种方法如何能够揭示出克服障碍和支持更广泛采用的具体途径。研究结果有助于在可再生能源转型中平衡技术可行性、公众接受度和城市现实。

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引用次数: 0