Energy Modelling in the UK: The modelling landscape

Analysis of the energy transition has drawn heavily on energy modelling, which has been taking place since the oil shocks of the 1970s. The topic lends itself well to quantification due to a number of factors including the physical flows of energy, costs and benefits, different technology characteristics and environmental impacts. Alongside this, as energy is a truly interdisciplinary subject, models are a great short-hand way to combine different methods from different disciplines

UWG -TRNSYS Simulation Coupling for Urban Building Energy Modelling

This paper presents a new methodology to carry out building performance simulation at the district scale integrating the building thermal model TRNSYS with the climate model ‘Urban Weather Generator’ (UWG). The integrated methodology is designed to include the microclimatic modifications induced by urban environments on buildings’ cooling load calculation. The impact of shadows, air temperature increase and urban radiant environment on building cooling performance has been highlighted for hot arid climates (Antofagasta, Chile). Results indicate that the impact of urban context on energy performance of buildings at the neighbourhood scale varies significantly with building typology and urban tissue densit

Data dependent energy modelling for worst case energy consumption analysis

Safely meeting Worst Case Energy Consumption (WCEC) criteria requires accurate energy modeling of software. We investigate the impact of instruction operand values upon energy consumption in cacheless embedded processors. Existing instruction-level energy models typically use measurements from random input data, providing estimates unsuitable for safe WCEC analysis. We examine probabilistic energy distributions of instructions and propose a model for composing instruction sequences using distributions, enabling WCEC analysis on program basic blocks. The worst case is predicted with statistical analysis. Further, we verify that the energy of embedded benchmarks can be characterised as a distribution, and compare our proposed technique with other methods of estimating energy consumption

Sharp interface limit of an energy modelling nanoparticle-polymer blends

We identify the $\Gamma$-limit of a nanoparticle-polymer model as the number of particles goes to infinity and as the size of the particles and the phase transition thickness of the polymer phases approach zero. The limiting energy consists of two terms: the perimeter of the interface separating the phases and a penalization term related to the density distribution of the infinitely many small nanoparticles. We prove that local minimizers of the limiting energy admit regular phase boundaries and derive necessary conditions of local minimality via the first variation. Finally we discuss possible critical and minimizing patterns in two dimensions and how these patterns vary from global minimizers of the purely local isoperimetric problem.Comment: Minor changes. Rephrased introduction. This version is to appear in Interfaces and Free Boundarie

Energy Modelling

Exam paper for second semsterL Energy Modellin

OCK – Open Climate Knowledge

100% open collaborative research for climate change knowledge / using data mining & open science publishing. The climate crisis of the predicted atmosphere temperatures rising to 1.5C + makes it imperative that research related to climate change be put to better use by being open and digitally connected. We are concerned with making all aspects of research open, but as an example, less than 30% of research papers related to climate change are Open Access (Tai and Robinson 2018). This must change now

Optimal symmetric flight studies

Several topics in optimal symmetric flight of airbreathing vehicles are examined. In one study, an approximation scheme designed for onboard real-time energy management of climb-dash is developed and calculations for a high-performance aircraft presented. In another, a vehicle model intermediate in complexity between energy and point-mass models is explored and some quirks in optimal flight characteristics peculiar to the model uncovered. In yet another study, energy-modelling procedures are re-examined with a view to stretching the range of validity of zeroth-order approximation by special choice of state variables. In a final study, time-fuel tradeoffs in cruise-dash are examined for the consequences of nonconvexities appearing in the classical steady cruise-dash model. Two appendices provide retrospective looks at two early publications on energy modelling and related optimal control theory

Foreword: The Deprivation of Labor Relations Law

This paper discusses the development of an energy systems model for Swedenconsidering electricity, heat and direct fossil fuel consumption in the residential,industrial and transport sectors as well as the energy interaction with the other Nordiccountries and its impact on the Swedish energy system. The model is developed in theOpen source energy modelling system (OSeMOSYS) (Mark Howells 2011) andshowcases potential energy investment options for Sweden in the next four decades(2010-2050). It considers different scenarios and provides a technology neutralassessment of how Sweden can invest in energy infrastructure in the most judiciousway. The paper also describes the new user interface developed called ANSWEROSeMOSYS.The paper further discusses the results of the different scenarios. Thebusiness as usual scenario shows an inclination towards investments in nuclear power.Further scenarios consider the gradual phasing out of the use of oil in CHP plants andnuclear power as well as new energy policies and tax reforms. The paper discusses theseresults in detail and demonstrates how Sweden could improve its energy infrastructureconsidering different policy implications and constraints put up by the availability andfeasibility of different resources. Finally, the prospect of wider stakeholder engagementbased on this model is discussed. Building on the open-source nature of the model,inputs and modifications from research institutes, energy modelling experts,government bodies, as well as the wider public will be incorporated into the model. Thesource code and modelling data will be made publicly available

Challenges and opportunities for energy system modelling to foster multi-level governance of energy transitions

Achieving the swift energy transition necessary to meet global climate ambitions requires concerted action across governance scales, from municipal authorities to national governments. Decision-making is often closely informed by energy system modelling, making energy models a crucial tool to foster a multi-level governance system that is based on mutual understanding and coordination across scales. Here, we review 186 energy modelling studies and identify challenges and opportunities for the energy modelling community to take into account and facilitate multi-level governance systems. We show that current energy modelling practices typically focus on and aim to support a single scale, largely overlooking the multi-level nature of energy governance. Embedding multi-level governance throughout the energy modelling process entails significant obstacles but is crucial for ensuring such approaches continue to provide timely and salient decision-support