Adam Rysanek

DELORES – an open-source tool for stochastic prediction of occupant services demand

This paper provides a detailed technical description of DEmand LOad REconStructor (DELORES), a new, open-source modelling tool for stochastic simulation of occupant services demand in buildings. By services, one means usually: illumination, sustenance (by way of food preparation), communication (by way of information technology services), and thermal comfort. In the building simulation environment, however, these services are commonly represented through annual transient profiles of internal heat gains, electricity loads, and set point temperatures. The intended capability of DELORES is to stochastically generate such profiles for use in common building energy models, such as TRNSYS and EnergyPlus, and do so whilst presenting users with a straight-forward, easy-to-use interface. By furthering the dissemination of this tool in the public domain, and encouraging it is future development, it is hoped that multidisciplinary research related to stochastic occupant behaviour and energy demand will become an easier task.

Economic, Climate Change, and Air Quality Analysis of Distributed Energy Resource Systems☆

Abstract This paper presents an optimisation model and cost-benefit analysis framework for the quantification of the economic, climate change, and air quality impacts of the installation of a distributed energy resource system in the area surrounding Paddington train station in London, England. A mixed integer linear programming model, called the Distributed Energy Network Optimisation (DENO) model, is employed to design the optimal energy system for the district. DENO is then integrated into a cost-benefit analysis framework that determines the resulting monetised climate change and air quality impacts of the optimal energy systems for different technology scenarios in order to determine their overall economic and environmental impacts.