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MODELING TECHNOLOGY STRATEGIES FOR THERMAL ENERGY SERVICES IN RURAL DEVELOPING COMMUNITIES

机译:农村发展社区热能服务的建模技术策略

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Approximately 40% of the world's population lives in energy poverty, lacking basic clean energy to prepare their food, heat water for washing, and provide light in their homes. Access to improved energy services can help to alleviate this poverty and result in significant improvements to health and livelihoods, yet past strategies for meeting the needs of this large and diverse population have often been top-down and focused on single intervention or solution, leading to limited success. Using a systems-based approach to examine residential thermal energy needs, this paper explores five intervention strategies to provide energy services for a remote off-grid village in Mali. The five intervention strategies are (1) general improved biomass cookstoves, (2) advanced biomass cookstoves, (3) communal biomass cookstoves, (4) LPG cookstoves, and (5) solar water heaters. Using a probabilistic multi-objective model that includes technical, environmental, economic, and social objectives, the potential net improvements, critical factors, and sensitivities are investigated. The results show that the factors with the most impact on the outcome of an intervention include the rate of user adoption, value of time, and biomass harvest renewability; in contrast, parameters such as cookstove emission factors have less impact on the outcome. This suggests that the focus of village energy research and development should shift to the design of technologies that have high user adoption rates. That is, the results of this study support the hypothesis that the most effective village energy strategy is one that reinforces the natural user-driven process to move toward efficient and convenient energy services.
机译:世界上约有40%的人口生活在能源贫困中,他们缺乏基本的清洁能源来准备食物,加热水来洗衣服以及在家里提供照明。获得改善的能源服务可以帮助减轻这种贫困状况,并显着改善健康和生计,然而,过去满足这一庞大和多样化人口需求的战略通常是自上而下的,并且侧重于单一干预或解决方案,从而导致成功有限。本文使用一种基于系统的方法来检查住宅的热能需求,探讨了五种干预策略,为马里一个偏远的离网村庄提供能源服务。五个干预策略是(1)常规改进的生物质炊具,(2)先进的生物质炊具,(3)公用生物质炊具,(4)LPG炊具和(5)太阳能热水器。使用包括技术,环境,经济和社会目标在内的概率多目标模型,研究了潜在的净改进,关键因素和敏感性。结果表明,对干预结果影响最大的因素包括用户采用率,时间价值和生物质收获的可更新性。相反,诸如炉灶排放因子之类的参数对结果的影响较小。这表明,乡村能源研究和开发的重点应转移到用户采用率高的技术设计上。也就是说,这项研究的结果支持以下假设:最有效的乡村能源战略是一种强化自然的用户驱动过程,以朝着高效,便捷的能源服务发展的战略。

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