Abstract
The move towards more sustainable cities involves rethinking various infrastructure systems and supply chains, including those for energy and waste. To provide decision support to local stakeholders, the resilience.io platform provides a series of modules to allow forecasting of socio-demographic changes, simulating spatio-temporal activities and planning investment and operational strategies to meet the sustainable development goals for multiple domains including water, energy, food and cities. In this paper we apply these tools to waste-to-energy pathways, aiming to develop treatment capacity and energy recovery with the lowest cost. Two categories of waste including wastewater (WW) and municipal solid waste (MSW) are analysed as the source of biogas through either direct combustion for combined heat and power generation in incinerators, or anaerobic digestion (AD) for electricity and heating along with digestate produced. Results show that for a case study in Ghana a combination of waste incineration, large-scale AD for WW and MSW and farm-scale AD for plantations, depending on local characteristics for supply and demand, provides waste treatment and energy at lowest cost. This application demonstrates how simulation and optimisation models can provide new insights in the design of value chains, with particular emphasis on whole-system analysis and integration.
Original language | English |
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Title of host publication | Computer Aided Chemical Engineering |
Editors | Antonio Espuña, Moisès Graells, Luis Puigjaner |
Publisher | Elsevier |
Pages | 2377-2382 |
Number of pages | 6 |
Volume | 40 |
ISBN (Print) | 15707946 |
DOIs | |
Publication status | Published - 2017 |
Keywords
- waste-energy-water
- city
- sustainability
- economic
- life cycle assessment