(620f) Design of Residential Polygeneration Systems Applied to Isolated Communities
AIChE Annual Meeting
2018
2018 AIChE Annual Meeting
Environmental Division
Going to a Decision Point in Sustainability Analysis
Thursday, November 1, 2018 - 10:05am to 10:30am
This work presents a mathematical programming model for the design of a residential polygeneration systems in an isolated community considering the water-energy-food nexus. The problem consists in determining the optimal and sustainable configuration to satisfy the energy, water and food demands of the inhabitants. To meet energy demands, the existence of different cogeneration units, renewable energies such as solar collectors, aerogenerators and solar panels were considered. Water demand was satisfied by rainwater collection systems and wells. Wastewater generated in the community was sent to blackwater and greywater treatment plants. The treated greywater was used in gardening, cattle and agriculture. Different types of crops and animal production were considered to satisfy the food demands of the inhabitants. The municipal solid wastes generated were separated in plastic, metal, paper, glass and non-recyclable, the latter were treated in process plants such as pelletization, incineration, gasification, pyrolysis and anaerobic digestion to obtain, pellets, steam and natural gas that can be used as an energy source.
The objective functions consist in maximizing the profit of the project that involves sales of crops, animals, pellets, biofuels and solid waste that can be reused and the total annual cost that is constituted by the fixed cost of the technologies or process and their operation cost. Additionally, other objective functions consist in minimizing the fresh water consumption and minimization of greenhouse gas emissions.
The proposed model is a Linear Programming problem and it was implemented in the software GAMS to solve a case study in the community of Cochoapa el Grande located in the state of Guerrero in Mexico, which is the municipality with the highest index of poverty and marginalization in the country, mainly due to its geographical location. The results show that there are economically, socially and environmentally attractive solutions with the implementation of the proposed approach.