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Digitalization opportunities to enable local power system transition to net-zero 数字化机遇使当地电力系统向净零转型
IF 4.4 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-11-29 DOI: 10.1016/j.esd.2024.101596
Elnaz Azizi , Weiqi Hua , Bruce Stephen , David C.H. Wallom , Malcolm McCulloch
The energy sector is pivotal in driving the transition towards a sustainable net-zero future, with the adoption of digital technologies playing a key role in this evolution. While much of the existing research has centered on sustainability through centralized energy generation and large-scale transmission systems, this paper addresses a notable gap by focusing on how data-driven decisions in local power systems, supported by digitalization, can enhance efficiency, reliability, and sustainability. The framework of this paper is derived from a survey from eight organizations of power sector, covering transmission and distribution, aiming to answer the question: “Which decisions within local power systems need to be informed by data?”. Through inductive coding of survey responses, we identified key themes fall into two main categories: requirements of local energy systems and opportunities provided by digitalization to meet these requirements. Mapping responses to each of these categories underscore the equal significance stakeholders place on the role of digitalization in both planning and operation. Also, with this mapping, we uncovered four key opportunities of digitalization, with predictability and interoperability being the most crucial, followed by responsiveness and automation. Aligned with the identified codes, academic research, industrial implementations and ongoing projects are reviewed to showcase the current practical applications of digitalization. Finally, we identify potential research areas that could further benefit local energy systems through effective use of digitalization. This paper provides insights into the digitalization opportunities in local power systems, offering a comprehensive overview for the data science and power engineering communities.
能源部门在推动向可持续的净零排放未来过渡方面发挥着关键作用,数字技术的采用在这一演变中发挥着关键作用。虽然现有的许多研究都集中在集中发电和大规模输电系统的可持续性上,但本文通过关注在数字化支持下,本地电力系统中数据驱动的决策如何提高效率、可靠性和可持续性,解决了一个显著的差距。本文的框架来源于对八个电力部门组织的调查,涵盖输电和配电,旨在回答这个问题:“在当地电力系统中,哪些决策需要由数据提供信息?”通过对调查结果的归纳编码,我们确定了主要主题分为两大类:当地能源系统的要求和数字化提供的满足这些要求的机会。对这些类别的映射反应强调了利益相关者对数字化在规划和运营中的作用的同等重要性。此外,通过这种映射,我们发现了数字化的四个关键机会,其中可预测性和互操作性是最关键的,其次是响应性和自动化。根据确定的代码,对学术研究、工业实施和正在进行的项目进行了审查,以展示当前数字化的实际应用。最后,我们确定了潜在的研究领域,可以通过有效利用数字化进一步使当地能源系统受益。本文提供了对本地电力系统数字化机会的见解,为数据科学和电力工程社区提供了全面的概述。
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引用次数: 0
GIS-based approach including social considerations for identifying locations for solar and wind power plants 基于地理信息系统的方法,包括确定太阳能和风力发电厂地点的社会考虑
IF 4.4 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-11-28 DOI: 10.1016/j.esd.2024.101602
Santiago Bernal-del Río , Carolina Luján , Sofía Ferrer , Riccardo Mereu , Gilberto Osorio-Gómez
This paper presents a methodology for evaluating and identifying potential areas for the installa- tion of solar and wind power plants, including consideration of social aspects. The methodology is based on Geographic Information Systems (GIS) and maps derived from open data provided by various institutions. Multi-criteria analysis is used, which considers environmental and physical conditions, as well as social indicators and the specific cultural and economic characteristics of the area under analysis. The objective of this is to explore the intersection of potential power plant locations with social maps that represent different problematics that can be critical to the successful implementation of a generation project in a given area. The results indicate that solar energy is the most viable resource for electric generation in the Colombian territory. This can be equivalent to a total of 8.24T W · km2. In contrast, when considering the environmental impact, it becomes evident that viable zones begin to shift away from bodies of water and areas that are natural reserves. The results obtained are not only relevant for energy planning in Colombia, but may also be applicable in other contexts, contributing to the development of sustainable energy strategies at a global level. Furthermore, the methodology can serve as a model for other developing countries that seek to transition towards a more sustainable energy future.
本文提出了一种评估和确定安装太阳能和风力发电厂的潜在区域的方法,包括考虑社会方面。该方法以地理信息系统(GIS)和地图为基础,这些地图来源于各机构提供的开放数据。使用多标准分析,它考虑了环境和物理条件,以及社会指标和被分析地区的具体文化和经济特征。该项目的目的是探索潜在发电厂选址与代表不同问题的社会地图的交集,这些问题对于在给定地区成功实施发电项目至关重要。结果表明,太阳能是哥伦比亚境内最可行的发电资源。这相当于总共8.24T W·km2。相比之下,当考虑到环境影响时,很明显,可行区域开始从水体和自然保护区转移。所取得的结果不仅与哥伦比亚的能源规划有关,而且也可能适用于其他情况,有助于在全球一级制定可持续能源战略。此外,该方法可以作为其他寻求向更可持续的能源未来过渡的发展中国家的典范。
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引用次数: 0
Beyond the business case: Impacts and resilience post-adoption of decentralized renewable energy for rural livelihoods 超越商业案例:采用分散式可再生能源对农村生计的影响和恢复力
IF 4.4 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-11-28 DOI: 10.1016/j.esd.2024.101600
Vivek Shastry , Varun Rai
Productive uses of energy – tied to the usage of energy for economically productive appliances – to catalyze improvements in livelihoods, healthcare, and education have gained increased attention recently from governments and donor organizations. Through an intensive qualitative field-study of 64 rural entrepreneurs in southern Indian state of Karnataka who adopted different types of Decentralized Renewable Energy Assisted Machines (DREAMs) to start or improve existing rural enterprises such as roti-making, blacksmithing, tailoring, and food-processing, we contribute toward understanding when, how, and for whom do such productive uses make a positive impact. Going beyond the analysis of financial returns, we present an integrated impact-resilience framework to analyze the non-financial and broader socio-economic impacts of improved electricity access for rural enterprises. We show that DREAMs activate a cascade of interlocking set of impacts and livelihood resilience measures. While there is a general appreciation that DREAMs may contribute to making the adopting households more resilient, we trace the pathways through which such resilience building might occur. The reorganizational effects of DREAMs on the economic and social fabric of rural life appear to be quite large and potent. Our observation of multi-faceted positive spillovers resulting from the adoption and use of DREAMs lends support for policy interventions to develop and support the local and regional ecosystems that undergird deployment of DREAMs in rural areas.
最近,各国政府和捐助组织越来越重视能源的生产性利用(与经济生产性设备的能源使用有关),以促进生计、医疗保健和教育的改善。通过对印度南部卡纳塔克邦64位采用不同类型的分散式可再生能源辅助机器(DREAMs)来启动或改善现有农村企业(如烤饼制作、铁匠、裁缝和食品加工)的农村企业家进行深入的定性实地研究,我们有助于了解这些生产性用途何时、如何以及为谁产生积极影响。除了对财务回报的分析,我们还提出了一个综合的影响复原力框架,以分析改善农村企业电力供应的非金融和更广泛的社会经济影响。我们发现,dream激活了一系列连锁的影响和生计弹性措施。虽然人们普遍认为,dream可能有助于使收养家庭更具弹性,但我们追踪了这种弹性建设可能发生的途径。梦对农村生活的经济和社会结构的重组作用似乎相当大而有力。我们观察到,采用和使用DREAMs带来了多方面的积极溢出效应,这为政策干预提供了支持,以发展和支持当地和区域生态系统,这些生态系统是在农村地区部署DREAMs的基础。
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引用次数: 0
Technical sizing of renewable energy capacity for large-scale green hydrogen production 为大规模绿色制氢确定可再生能源容量的技术规模
IF 4.4 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-11-26 DOI: 10.1016/j.esd.2024.101595
Rachid MKHAITARI, Yamina MIR, Mimoun ZAZOUI, Fatiha ELRHEZOUANI
The endeavor to produce 100 tons/day of green hydrogen in Morocco is a target with multifaceted challenges. The size of renewable energy and the electrolysis process constitute major parameters requiring advanced technology and robust infrastructure. The sensitivity analysis of this study involves critical parts of the value chain including the installed capacity, cost-effectiveness, storage, load balance, and resource allocation necessary to achieve the targeted green hydrogen. In the base case scenario (PV:562MWp, Wind:456Mw, EZ:273Mwe, storage:7.4 tons), the analysis reveals the optimal and effective technical sizing of the installed capacity ensuring a reliable energy supply and the load factor of the electrolysers indicates efficient balance of the produced energy, while the minimal requirement for hydrogen storage underscores economic viability. However, in the case of sensitivity scenario case 1 (PV:562MWp, Wind:647Mw, EZ:337Mwe, storage:420 tons), putting high capacities into renewable energies leads to excess energy production, requiring valorization strategies. Although the use of the grid as a storage mechanism is limited and compliant with regulations, a significant need for hydrogen storage is noted to resolve intermittency issues. Quite similar observations in the sensitivity scenario case 2 (PV:562MWp, Wind:290Mw, EZ:256Mwe, storage:1.7 tons) reinforces the project's robustness, with optimized wind production profiles and reduced investment needs facilitated by grid storage capacity.
要在摩洛哥实现每天生产 100 吨绿色氢气的目标,面临着多方面的挑战。可再生能源的规模和电解过程是需要先进技术和强大基础设施的主要参数。本研究的敏感性分析涉及价值链的关键部分,包括实现绿色氢气目标所需的装机容量、成本效益、存储、负载平衡和资源分配。在基本情况下(光伏:562MWp,风能:456Mw,EZ:273Mwe,储能:7.4 吨),分析表明,装机容量的最佳和有效的技术规模确保了可靠的能源供应,电解槽的负载率显示了所生产能源的有效平衡,而对氢储存的最低要求则强调了经济可行性。然而,在敏感性情景 1(光伏:562MWp,风能:647Mw,EZ:337Mwe,储能:420 吨)的情况下,可再生能源的高装机容量会导致能源生产过剩,这就需要采取增值策略。虽然使用电网作为储存机制是有限的,并且符合法规要求,但我们注意到氢气储存的巨大需求,以解决间歇性问题。在敏感性情景案例 2(光伏:562MWp,风能:290Mw,EZ:256Mwe,储能:1.7 吨)中也观察到了类似的情况,加强了项目的稳健性,优化了风能生产曲线,并通过电网储能减少了投资需求。
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引用次数: 0
GHG emissions intensity analysis. Case study: Bioethanol plant with cogeneration and partial CO2 recovery 温室气体排放强度分析。案例研究:采用热电联产和部分二氧化碳回收技术的生物乙醇厂
IF 4.4 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-11-19 DOI: 10.1016/j.esd.2024.101598
María José Galván , Francisco Badin , Micaela Cabrera , Daiana Martinez , Alejo Dantur
This study evaluates the greenhouse gas (GHG) emission intensity of anhydrous ethanol produced in a corn bioethanol plant located in Córdoba, Argentina. The plant integrates advanced technologies such as cogeneration through a steam turbine and partial CO2 recovery for food-grade use, which significantly reduce the carbon footprint of the production process. The calculated emission intensity is 27.57 gCO2e/MJ, placing it in the lower range compared to the European Directive RED II benchmark (30.3–67.8 gCO2e/MJ). Sensitivity analysis shows that without CO2 recovery, emissions would be 30.92 gCO2e/MJ, while a 50 % recovery reduces emissions to 17.92 gCO2e/MJ, and a 100 % recovery could achieve as low as 4.93 gCO2e/MJ. These findings emphasize the effectiveness of CO2 recovery technologies in minimizing emissions in bioethanol production. Additionally, the study explores the potential of implementing economic incentives to promote carbon capture and storage (CCS) technologies in Argentina. Incentives such as tax deductions, a National Clean Energy Fund, preferential financing, and the creation of a carbon market are proposed to support CCS adoption. By integrating these measures, Argentina could significantly enhance the sustainability of its bioethanol production, reduce GHG emissions, and attract investments in clean technologies. The results provide a benchmark for future comparisons and underscore the importance of continuous technological innovation to improve the environmental performance of biofuels.
本研究评估了阿根廷科尔多瓦一家玉米生物乙醇工厂生产的无水乙醇的温室气体(GHG)排放强度。该厂采用了先进的技术,如通过蒸汽轮机进行热电联产和部分二氧化碳回收用于食品级用途,从而大大减少了生产过程中的碳足迹。计算得出的排放强度为 27.57 gCO2e/MJ,与欧洲指令 RED II 基准(30.3-67.8 gCO2e/MJ)相比处于较低水平。敏感性分析表明,如果没有二氧化碳回收,排放量将为 30.92 gCO2e/MJ,而 50% 的回收率可将排放量降至 17.92 gCO2e/MJ,100% 的回收率可将排放量降至 4.93 gCO2e/MJ。这些发现强调了二氧化碳回收技术在生物乙醇生产中最大限度减少排放的有效性。此外,该研究还探讨了在阿根廷实施经济激励措施以推广碳捕集与封存 (CCS) 技术的潜力。研究提出了减税、国家清洁能源基金、优惠融资和创建碳市场等激励措施,以支持碳捕集与封存技术的采用。通过整合这些措施,阿根廷可以显著提高生物乙醇生产的可持续性,减少温室气体排放,并吸引清洁技术投资。研究结果为今后的比较提供了一个基准,并强调了不断进行技术创新以提高生物燃料环保性能的重要性。
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引用次数: 0
Comparative Economic Analysis of Bifacial Roof-top PV Systems 双面屋顶光伏系统的经济比较分析
IF 4.4 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-11-16 DOI: 10.1016/j.esd.2024.101593
Preeti Kumari Sahu , Chandan Chakraborty , J.N. Roy
This study addresses the existing literature’s incomplete coverage of detailed LCOE (Levelised Cost of Electricity) and economic evaluation for bifacial photovoltaic (PV) systems. LCOE is a crucial metric in assessing the economic viability of energy generation. This paper introduces a novel model that captures the relationship between LCOE and the innovative technology of bifacial PV. It also analyzes the LCOE and energy payback period for an 8 kW bifacial PV plant, which is installed on the rooftop of the IIT Kharagpur campus. The LCOE derived from the real-time PV plant stands at 3.46 INR/kWh, while PVSyst predicts it as 3.37 INR/kWh. The corresponding payback period for the actual bifacial plant is approximately five years and five months, compared to five years and three months projected by PVSyst. It explicitly compares the economic feasibility of two rooftop PV systems: traditional monofacial panels and bifacial panels for scaled-up systems (1 MW). The analysis encompasses both systems’ initial costs, energy output, and payback periods. The findings reveal that the bifacial PV system outperforms the monofacial system in electricity generation and offers a shorter payback period. Consequently, the study demonstrates that the bifacial PV system represents a more economically advantageous choice for rooftop solar installations.
现有文献对双面光伏(PV)系统的详细 LCOE(平准化电力成本)和经济评估覆盖不全,本研究针对这一问题进行了研究。LCOE 是评估能源发电经济可行性的重要指标。本文介绍了一种新型模型,该模型可捕捉 LCOE 与双面光伏创新技术之间的关系。它还分析了安装在印度理工学院卡拉格普尔校区屋顶的 8 千瓦双面光伏电站的 LCOE 和能源投资回收期。实时光伏电站的 LCOE 为 3.46 印度卢比/千瓦时,而 PVSyst 预测为 3.37 印度卢比/千瓦时。实际双面电站的相应投资回收期约为五年零五个月,而 PVSyst 预测的投资回收期为五年零三个月。它明确比较了两种屋顶光伏系统的经济可行性:传统的单面电池板和双面电池板放大系统(1 兆瓦)。分析包括两个系统的初始成本、能量输出和投资回收期。研究结果表明,双面光伏系统的发电量优于单面系统,投资回收期也更短。因此,该研究表明,双面光伏系统是屋顶太阳能装置中更具经济优势的选择。
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引用次数: 0
Development of a comprehensive Rooftop Solar PV Index using DVF framework of Design Thinking 利用设计思维的 DVF 框架开发屋顶太阳能光伏综合指数
IF 4.4 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-11-15 DOI: 10.1016/j.esd.2024.101577
Ale Imran, Mohd Rihan
The importance of the Rooftop solar segment lies in its potential to transform the energy landscape, offering cleaner, more sustainable, affordable energy solutions while contributing to the environment, economy, and society as a whole. India, in particular, has been witnessing significant growth in the deployment of Rooftop Solar PV; however, despite the best efforts, there are bottlenecks and challenges that are affecting the further spread of rooftop solar PV and needs to be tackled at various levels to accelerate the adoption of the technology. In this work, the authors have presented an Index framework that could be used as a methodical tool to analyze and evaluate the rooftop Solar PV performance and simultaneously identify the bottlenecks. This paper presents the development of a comprehensive and detailed rooftop Solar Index framework incorporating the DVF framework of Design Thinking that includes the principles of User Desirability, Technological Feasibility, and Business Viability for the process development. The developed index framework segregates the variables that categorize the rooftop sector into 3 drivers, 5 sub-drivers, and 20 parameters that are linked to multiple indicators of interest. The chosen variables of interest have been validated using Co-relation coefficient analysis and the weights have been assigned by Domain Experts or Specialists using Modified Borda's Technique & Analytical Hierarchical Process. The index has also been used to compare the performance of two chosen states across India & highlight a few key bottlenecks. The developed index is of critical importance to access the performance of the rooftop solar sector & could be used by multiple stakeholders like policymakers, investors, consumers, and entrepreneurs to ensure a wide proliferation of rooftop solar PV technology.
屋顶太阳能部分的重要性在于其改变能源格局的潜力,提供更清洁、更可持续、更经济实惠的能源解决方案,同时为环境、经济和整个社会做出贡献。特别是在印度,屋顶太阳能光伏发电的部署一直在显著增长;然而,尽管做出了最大努力,但仍有一些瓶颈和挑战影响着屋顶太阳能光伏发电的进一步推广,需要在各个层面加以解决,以加快该技术的采用。在这项工作中,作者提出了一个指数框架,可用作分析和评估屋顶太阳能光伏性能的方法工具,同时找出瓶颈。本文介绍了一个全面而详细的屋顶太阳能指数框架的开发过程,该框架结合了设计思维的 DVF 框架,其中包括流程开发过程中的用户可取性、技术可行性和商业可行性原则。开发的指数框架将屋顶行业的变量分为 3 个驱动因素、5 个子驱动因素和 20 个参数,这些因素与多个相关指标相关联。所选的相关变量已通过共相关系数分析进行了验证,权重则由领域专家或专家通过修改后的博尔达技术及amp; 层次分析法进行了分配。该指数还被用于比较印度两个选定邦的绩效,并突出几个关键瓶颈。所开发的指数对于了解屋顶太阳能行业的表现至关重要,可供政策制定者、投资者、消费者和企业家等多个利益相关者使用,以确保屋顶太阳能光伏技术的广泛推广。
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引用次数: 0
Long-range energy demand and greenhouse gas emissions analysis using the LEAP Model: A case study of building ceramic industrial park 利用 LEAP 模型进行长期能源需求和温室气体排放分析:建筑陶瓷工业园案例研究
IF 4.4 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-11-14 DOI: 10.1016/j.esd.2024.101594
Lin Lu , Yanghua Chen , Qing Feng , Wenqi Li , Dan Chen
The ceramic industry is acknowledged as a sector with high energy demands, with industrial parks serving as its primary product producers. Consequently, to explore the potential of the ceramics industry in carbon emission reduction and energy conservation, this study combined lifecycle energy demand with the Low Emissions Analysis Platform (LEAP). The analysis indicates that over the period from 2020 to 2040, the Technology Promotion (TP) scenario is poised to outperform the Low Carbon (LC) scenario in reducing energy consumption. Energy consumption may be reduced by 52 % in the LC scenario and 58 % in the TP scenario. Moreover, the TP scenario also demonstrates even greater efficacy in emissions reduction. In terms of greenhouse gas emissions, in 2040, the building ceramics industrial park is expected to generate 6.05 million tons of CO2 in the Baseline (BS) scenario, 5.02 and 4.32 million tons of CO2 in the LC and TP scenarios, respectively, which corresponds to a reduction of 17 %–30 %. It is expected that this study will fill knowledge gaps pertaining to energy efficiency potential in industrial park energy-intensive industries.
陶瓷工业是公认的高能耗行业,工业园区是其主要产品生产者。因此,为了探索陶瓷工业在碳减排和节能方面的潜力,本研究将生命周期能源需求与低排放分析平台(LEAP)相结合。分析表明,在 2020 年至 2040 年期间,技术推广(TP)方案在减少能源消耗方面有望超过低碳(LC)方案。在低碳方案中,能源消耗可减少 52%,而在技术促进方案中,能源消耗可减少 58%。此外,TP 方案在减排方面也表现出更大的功效。就温室气体排放而言,2040 年,建筑陶瓷工业园区在基准(BS)情景下预计将产生 605 万吨二氧化碳,在 LC 和 TP 情景下分别为 502 万吨和 432 万吨,相当于减排 17 %-30 %。预计本研究将填补有关工业园区能源密集型产业能效潜力的知识空白。
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引用次数: 0
Assessing greenhouse gas emissions and decarbonization potential of household biogas plant: Nepal's case study 评估家庭沼气厂的温室气体排放和脱碳潜力:尼泊尔案例研究
IF 4.4 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-11-13 DOI: 10.1016/j.esd.2024.101592
Navin Kumar Jha , Sunil Prasad Lohani , Dilip Khatiwada , Prajal Pradhan , Shree Raj Shakya
Household biogas plants (HBPs) are widely promoted in developing countries like Nepal to decarbonize the cooking fuel sector, mitigating greenhouse gas (GHG) emissions associated with traditional, non-clean cooking fuels. However, their decarbonization potential mainly relies on the overall GHG emissions associated with HBP and the avoidable emissions to be substituted by the HBP, and there is a lack of systematic studies evaluating these emissions under Nepalese context. This study addresses this gap, probably for the first time in Nepal, by analyzing GHG emissions associated with HBP, assessing their decarbonization potential under various operational conditions, and identifying opportunities to enhance the potential. Using a life cycle assessment (LCA) approach, we examined the decarbonization potential of HBPs and evaluated the impact of their operational uncertainties through sensitivity analysis. Our results indicate that HBPs could decarbonize the cooking fuel sector in Nepal by around 150,000 kt of CO2 equivalent annually; however, GHG emissions from about two-third of HBPs exceeded avoidable emissions, hindering their overall decarbonization potential. To improve this potential, we recommend strategies such as effective operation and maintenance, efficient digestate utilization, and context (regional, socioeconomic etc.) specific intervention policies such as biogas yield enhancement through codigestion of locally available feedstock. These findings provide valuable insights for policymakers aiming to assess and enhance the decarbonization potential of HBPs in Nepal and other parts of the developing countries under similar contexts.
家庭沼气厂(HBPs)在尼泊尔等发展中国家被广泛推广,以实现烹饪燃料领域的去碳化,减少与传统非清洁烹饪燃料相关的温室气体排放。然而,其去碳化潜力主要取决于与 HBP 相关的整体温室气体排放量以及 HBP 可替代的可避免的排放量,而目前缺乏在尼泊尔背景下对这些排放量进行评估的系统性研究。本研究通过分析与热电联产相关的温室气体排放,评估其在各种运行条件下的脱碳潜力,并确定提高脱碳潜力的机会,填补了这一空白,这在尼泊尔可能尚属首次。利用生命周期评估(LCA)方法,我们研究了 HBP 的脱碳潜力,并通过敏感性分析评估了其运行不确定性的影响。我们的结果表明,蜂窝煤燃烧器每年可使尼泊尔烹饪燃料行业减少约 150,000 千吨二氧化碳当量的碳排放量;然而,约有三分之二的蜂窝煤燃烧器的温室气体排放量超过了可避免的排放量,阻碍了其整体脱碳潜力。为了提高这一潜力,我们建议采取一些策略,如有效的运行和维护、高效的沼渣利用,以及针对具体情况(地区、社会经济等)的干预政策,如通过对当地可用原料进行联合消化来提高沼气产量。这些研究结果为决策者提供了宝贵的见解,帮助他们评估和提高尼泊尔及类似情况下发展中国家其他地区沼气发电厂的脱碳潜力。
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引用次数: 0
Spatial vulnerability of energy poverty among the households in Odisha 奥迪沙邦家庭能源贫困的空间脆弱性
IF 4.4 2区 工程技术 Q2 ENERGY & FUELS Pub Date : 2024-11-08 DOI: 10.1016/j.esd.2024.101578
Deepak Panda , Rudra P. Pradhan
Energy poverty, generally defined by the dependence on traditional solid fuels or lack of access to modern energy sources, continues to be a major hurdle in Odisha. This deficiency impedes progress towards SDG7 and has cascading negative effects on other SDGs. Various policy initiatives have endeavoured to expand access to modern energy services but accurate identification of energy-deprived households remains a persistent obstacle. To address this critical gap, the present research employs a multidimensional approach to gauge energy poverty in Odisha. By leveraging a combination of household survey data and geospatial techniques, this framework captures the nuanced realities of energy poverty at the household level. This comprehensive data collection culminates in the construction of a robust energy poverty index. Principal component analysis extracted underlying factors from collected data, with the resulting vector determining the principal components. Subsequently, energy poverty scores were computed for each household by taking a weighted sum of the principal components, where the weight is derived from the variance. Finally, district-level energy poverty indices are calculated by averaging the scores of resident households. This comprehensive analysis unveils a stark disparity in energy poverty between rural and urban areas of Odisha. Furthermore, it sheds light on concerning regional variations, highlighting the challenging situations faced by hilly northern districts and tribal-dominated southern districts. The insights gleaned from this in-depth analysis are intended to equip policymakers and stakeholders with valuable knowledge to formulate targeted interventions, which can bridge the energy deprivation gap and achieve equitable and affordable energy access for all.
能源贫困通常是指对传统固体燃料的依赖或无法获得现代能源,这仍然是奥迪沙邦的一大障碍。这一缺陷阻碍了可持续发展目标 7 的实现,并对其他可持续发展目标产生了连带的负面影响。各种政策措施都在努力扩大现代能源服务的获取范围,但准确识别能源匮乏家庭仍是一个长期障碍。为了解决这一关键问题,本研究采用了一种多维方法来衡量奥迪沙邦的能源贫困状况。通过将家庭调查数据与地理空间技术相结合,该框架捕捉到了家庭层面能源贫困的细微现实。通过全面的数据收集,最终构建了一个可靠的能源贫困指数。主成分分析从收集到的数据中提取基本因素,由此产生的矢量决定了主成分。随后,通过对主成分进行加权求和,计算出每个家庭的能源贫困分数,其中权重来自方差。最后,通过平均居民家庭的得分,计算出地区级能源贫困指数。这项综合分析揭示了奥迪沙邦城乡之间在能源贫困方面的巨大差异。此外,它还揭示了有关的地区差异,突出了北部丘陵地区和以部落为主的南部地区所面临的严峻形势。从这一深入分析中获得的见解旨在为政策制定者和利益相关者提供宝贵的知识,以制定有针对性的干预措施,从而缩小能源匮乏差距,实现人人都能公平地获得负担得起的能源。
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引用次数: 0
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Energy for Sustainable Development
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