Energy modelling

Alternate Term Label:
Energy management information systems

Transforming the market through energy management information systems

The U.S. Department of Energy (DOE) estimates that deployment of energy management information systems (EMIS) can be used to achieve building energy savings of 10 to 20 percent. The Institute of Real Estate Management (IREM) further estimates that EMIS can yield savings of up to...
Technical report

Energy Access Explorer: data and methods

Today, about 840 million people lack access to electricity. To effectively expand energy access, government planners need to understand and have access to data and analytical tools that capture key attributes of the unserved and under-served populations they are trying to reach.
Journal article

A multi-sectoral approach to modelling community energy demand of the built environment

Highlights Energy demand focused conceptual modelling framework to tackle the Energy Revolution. Evolution of building-user behaviour is given specific attention in scenario planning. Residential heat demand is evaluated using a hybrid dynamic simulation/stock model. Electricity demand is synthesised using a statistical Hidden-Markov Model. Review across...
Journal article

Photovoltaic (PV) performance modelling in the absence of onsite measured plane of array irradiance (POA) and module temperature

In this study, the outputs from a simple PV performance model were compared to measurements of AC power for three PV systems located across Sydney, Australia. The study aimed to investigate the level of uncertainty and bias of the model when onsite measurements of plane...

Building code energy performance trajectory technical report – Northern Australia

This report presents the findings of the Building Code Energy Performance Trajectory project for commercial and residential archetypes relevant to Northern Australia. The methodology and results presented in this report draw heavily from the previously completed work for The Australian Built Environment Council (ASBEC), ClimateWorks...
Conference paper

More bang for the buck – does increased code compliance result in kWh and kW savings?

The energy benefits of increased code compliance have generally been viewed through the lens of energy savings – kWh and therms. Peak demand reduction as an additional benefit of increased code compliance is a comparatively unexplored area – despite a general acknowledgement that there are...
Conference paper

Caveats for policy development when combining energy ratings, national building energy models, and empirical statistics

Since 1990, the carbon emissions of dwellings in the UK have declined by around 20%. This reduction per dwelling is mainly ascribed to the impact of energy efficiency measures, such as improvements in building codes/regulations. In the UK, national energy models of the building stock...
Journal article

Automated Building Energy Modeling and Assessment Tool (ABEMAT)

This paper explains a developed tool that contributes in automation of building energy simulation and providing outputs by using Building Information Modeling (BIM) and modified source code of energy simulation tools. Results showed similar findings indicating the functionality of Automated Building Energy Modeling and Assessment...
Conference paper

Allocation rules and meter timing issues in local energy or 'peer to peer' networks

The growing adoption of distributed energy resources (DERs) across Australia may represent the start of a transition of Australia's power system from a centraliased generation model towards an interconnected set of embedded microgrid systems. In these systems, local trading of coincident generation and consumption is...
Journal article

Statistical analysis of driving factors of residential energy demand in the greater Sydney region, Australia

The residential sector represents some 30% of global electricity consumption but the underlying composition and drivers are still only poorly understood. The drivers are many, varied, and complex, including local climate, household demographics, household behaviour, building stock and the type and number of appliances. There...