A New Web-Based Cross-Energy Optimization and Simulation Environment

Making reliable and comprehensible decisions in the context of renewable energy requires complex software solutions. Based on previous work that specifies the Cross Energy Management Programming Language (CEMPL), we present a new web-based tool chain to map real-world objectives and constraints to a set of formalized problem descriptions that is solvable in reasonable time. We describe the main components of the software and its coherence in the field of renewable energy.As proof of concept, we describe and solve a self-contained example with a cross-energy application. We prove that small, declarative programs are sufficient for a varied set of scenarios and simulation results. In particular, we focus on the examination of accumulated super-states for the energy sectors power, gas and heat. The objective is to dimension energy converters and storage systems, based on given constraints. Thus, forecasts are made to enable reliable and green fulfillments of future demands.