Redirigiendo al acceso original de articulo en 21 segundos...
ARTÍCULO
TITULO

Geo-Enabled Sustainable Municipal Energy Planning for Comprehensive Accessibility: A Case in the New Federal Context of Nepal

Hari Krishna Dhonju    
Bikash Uprety and Wen Xiao    

Resumen

Energy is a fundamental need of modern society and a basis for economic and social development, and one of the major Sustainable Development Goals (SDG), particularly SDG7. However, the UN?s SDG Report 2021 betrays millions of people living without electricity and one-third of the world?s population deprived of using modern energy cooking services (MECS) through access to electricity. Achieving the SDG7 requires standard approaches and tools that effectively address the geographical, infrastructural, and socioeconomic characteristics of a (rural) municipality of Nepal. Furthermore, Nepal?s Constitution 2015 incorporated a federal system under the purview of a municipality as the local government that has been given the mandate to ensure electricity access and clean energy. To address this, a methodology is developed for local government planning in Nepal in order to identify the optimal mix of electrification options by conducting a detailed geospatial analysis of renewable energy (RE) technologies by exploring accessibility and availability ranging from grid extensions to mini-grid and off-grid solutions, based on (a) life cycle cost and (b) levelized cost of energy. During energy assessment, geospatial and socio-economic data are coupled with household and community level data collected from a mobile survey app, and are exploited to garner energy status-quo and enable local governments to assess the existing situation of energy access/availability and planning. In summary, this paper presents a geo-enabled municipal energy planning method and a comprehensive toolkit to facilitate sustainable energy access to local people.

 Artículos similares

       
 
Roman Rybka, Yury Davydov, Danila Vlasov, Alexey Serenko, Alexander Sboev and Vyacheslav Ilyin    
Developing a spiking neural network architecture that could prospectively be trained on energy-efficient neuromorphic hardware to solve various data analysis tasks requires satisfying the limitations of prospective analog or digital hardware, i.e., local... ver más

 
Zhigang Ren, Shize Yang, Jiaji Zhang, Qiankun Wang, Shuqiang Gui, Junli Zhou, Yuyang Tang, Ke Zhu, Chuxiong Shen, Zhihua Xiong, Jinlong Sun, Xinpeng Qiu and Zhuo Chen    
The discharge of warm water from water source heat pump (WSHP) energy stations can cause local changes in the water temperature, leading to changes in the water quality around and downstream of the discharge outlet, resulting in a cumulative effect that ... ver más
Revista: Water

 
Suliman Ali Al-Khateeb, Faisal Ibrahim Zeineldin, Nagat Ahmed Elmulthum, Khalid Mohammed Al-Barrak, Muhammad Naeem Sattar, Tagelsir Ahmed Mohammad and Akbar S. Mohmand    
Water scarcity has necessitated the adoption of water-saving techniques in both protected and non-protected farming. This study aimed to evaluate the performance of a water-saving soilless cultivation technique and compare it to conventional soil-based c... ver más
Revista: Water

 
Jafar Jafari-Asl, Seyed Arman Hashemi Monfared and Soroush Abolfathi    
This study investigates the optimal and safe operation of pumping stations in water distribution systems (WDSs) with the aim of reducing the environmental footprint of water conveyance processes. We introduced the nonlinear chaotic honey badger algorithm... ver más
Revista: Water

 
Onesmo Zakaria Sigalla, Sekela Twisa, Nyemo Amos Chilagane, Mohamed Fadhili Mwabumba, Juma Rajabu Selemani and Patrick Valimba    
Global croplands, pastures, and human settlements have expanded in recent decades. This is accompanied by large increases in energy, water, and fertilizer consumption, along with considerable losses of biodiversity. In sub-Saharan Africa, policies are im... ver más
Revista: Water