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The Contribution of Energy-Optimized Urban Planning to Efficient Resource Use–A Case Study on Residential Settlement Development in Dhaka City, Bangladesh

doi: 10.3390/su8020119
This study examines and explores the contribution of an energy-optimized urban planning approach to efficient resource use in the context of Dhaka city, Bangladesh. A conceptual energy optimization model called the “EnUp” model has been developed and tested for feasibility and adaptation strategies to improve urban energy use in residential settlements. This study is based on a system analysis and grounded theory approach that involved field methods including key informant (KI) interviews and collection of data and information from local urban planning offices and other secondary sources. Results show that the adoption of an energy-optimized planning approach is possible and necessary in Dhaka city. The “EnUp“ model can be applied in new urban settlement planning and retrofitting existing urban settlements. Ensuring various stakeholders' participation, technical inputs, and adaptability could make this innovative model and approach replicable in many other cities in the world. The study facilitates a better documentation and visualization for comprehensive urban planning and energy planning process in developing countries, while providing useful insights to policy makers, planners, developers, and interested urban stakeholders in the transition to urban sustainability.
- Max Planck Society Germany
- University of Wisconsin–Oshkosh United States
- Università Luigi Bocconi Italy
- University of Bonn Germany
- Università Luigi Bocconi Italy
urban energy; energy optimization model; urban planning; urban system; energy planning; energy technology, energy planning, Environmental effects of industries and plants, energy optimization model, TJ807-830, TD194-195, urban system, urban planning, Renewable energy sources, Environmental sciences, energy technology, GE1-350, urban energy
urban energy; energy optimization model; urban planning; urban system; energy planning; energy technology, energy planning, Environmental effects of industries and plants, energy optimization model, TJ807-830, TD194-195, urban system, urban planning, Renewable energy sources, Environmental sciences, energy technology, GE1-350, urban energy
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