An MINLP Model for designing decentralized energy supply network
Carl Eggen, Thanh-Van Huynh, Moritz Link, Paul Stephan, Stefan, Volkwein
TL;DR
This paper presents a mixed-integer nonlinear programming (MINLP) model for optimizing decentralized energy supply networks, considering infrastructure expansion, technology choices, and renovation decisions to minimize costs and emissions.
Contribution
It introduces a comprehensive MINLP model that integrates multiple decision layers for decentralized energy network design and optimization.
Findings
Model effectively balances cost and emission reduction
Enables strategic planning for infrastructure and technology choices
Supports sustainable energy network development
Abstract
In this report, a detailed description of an MINLP model for decentralized energy supply network optimization is given. This model includes the possibility of extending gas transmission lines, local choice of heating technology, as well as local decisions for energy-efficient house renovation. Ultimately, the model is aimed at finding cost-efficient network plans while reducing carbon emissions to a specified amount.
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Taxonomy
TopicsIntegrated Energy Systems Optimization