Energy used in the operation of the United Kingdom’s non-domestic buildings contributes 18% of national carbon dioxide emissions and reducing these is government policy. The use of electrical equipment in buildings is a major contributor to overall consumption, due to both its intrinsic energy consumption and the effects of incidental internal gains resulting from its operation. Knowledge of how and where consumption and internal gains occur in buildings is important in understanding the consumption characteristics of the building stock. The overall aim of this research was to improve the prediction of energy consumption in the non-domestic stock through the inference of appliance electricity consumption and resultant heat gains, for internal space uses of premises, as identified in UK property taxation data. To achieve this, the objectives were to: 1. Develop a method for inferring space usage in premises. 2. Infer values for the electricity consumption of appliances, and hence internal gains, for space uses within premises. 3. Apply the method to a dataset at the urban scale and use a suitable model to deduce the energy consumption. 4. Compare the results with measured data. Objectives 1 and 2 were achieved through analyses of detailed energy surveys of more than 300 non-domestic premises. By excluding equipment used for heating and cooling, both intrinsic electricity consumption and internal gains from appliances have been characterised for combinations of internal space use and premises activity type. For each combination, the characteristics include the energy intensity (kWh/m2/year) for: • overall appliance use • 14 end uses of appliances (e.g. lighting, catering, computers) • 18 groups of appliance activity descriptions (e.g. sales, office work, process) These characteristics were mapped onto subdivisions of space use, within premises, listed in property taxation data for a test urban area (City of Leicester). Using only 115 descriptions of space use, appliance consumption characteristics have been inferred for 91.5% of the measured internal floor area of the test dataset; this achieved the third objective. More than 80% of the floor area was identified using standard space use descriptions utilised in real estate taxation datasets. The total estimated consumption accounted for 75% of the recorded annual electricity consumption of the test area (the fourth objective). This result is acceptable, given the known limitations of the datasets and suggests that the method constitutes an improvement to stock energy modelling, thus meeting the overall aim. By inferring appliance electricity consumption and internal gains at a finer spatial resolution than previous methods, the diversity of energy consumption characteristics of the non-domestic stock may be represented more faithfully than by values applied to entire homogenised premises or premises types. The method may be used by policy makers as part of an urban energy model and as a means of evaluating potential energy interventions in the non-domestic stock, or parts thereof.

SCA Östrand implements an expansion of its current production of pulp. Today's 435 000 tonnes will be 900 000 tonnes when the new production line is put into operation in 2018. SCA Logistics, which is responsible for the storage and transportation of pulp would therefore like to know how much area that is currently storing pulp and if the existing surface is sufficient to cope with the increase in volume from SCA Östrand. If the surface is not enough, SCA Logistics want to know how much space will be needed to cope with the increase in volume. The study is a combined case study and design methodology. Through process mapping, various scenarios are being developed to implement the current status and future analysis where the purpose of the study can be determined by calculating the maximum area, volume and fill rate. Information has been obtained from printed literature, scientific papers, previous theses, and observations of the process in SCA Logistics in the port of Tunadal. Relevant data has been obtained from an external supervisor at SCA Logistics. The study provides answers to how much space is available at present time, the fact that the current surface will not be sufficient to cope with the increase in volume and a minimum of additional 5800 m2 surface area will be needed to store pulp on. / SCA Östrand genomför i dagsläget en expansion av dess nuvarande produktion av pappersmassa. Dagens 435 000 ton kommer dubbleras när den nya produktionslinjen tas i bruk 2018. SCA Logistics som ansvarar för lagring och transportering av pappersmassan vill således veta hur mycket yta som finns i nuläget att lagra pappersmassa på och om den befintliga ytan är tillräcklig för att klara av volymökningen från SCA Östrand. Om ytan inte räcker till, vill SCA Logistics veta hur mycket yta som kommer behövas för att klara av volymökningen. Studien är en kombinerad fallstudie och designmetodik. Genom en processkartläggning kommer olika scenarion tas fram för att genomföra en nuläges-och framtidsanalys där syftet med studien kommer bestäm-mas genom att beräkna maximal area, volym och fyllnadsgrad. Inform-ation införskaffas från tryckt litteratur, vetenskapliga artiklar, tidigare examensarbeten, samt processpromenader på SCA Logistics i Tunadals-hamnen. Relevant data erhålls från extern handledare på SCA Logistics. Studien ger svar på hur mycket yta som finns tillgängligt i nuläget, att denna yta inte kommer vara tillräcklig för att klara av volymökningen och ett minimum av ytterligare 5800 m2 behövs utöver den nuvarande ytan som finns tillgänglig.