Project Overview
Construction
Occupancy
Behavioural models
Demand
Renewable technologies
Conclusion
Team
Acknowledgements
Demand
The demand has been divided into 3 categories:
- Electricity (from electrical appliances)
- Hot water
- Space Heating
According to our energy demand estimation, occupancy would be the most sensitive parameter. This demand will change from week to week according to the changes in the occupancy.
Based on our occupancy analysis (see occupancy section for further details), we can know how occupied each cabin of the site will be. However, we cannot use the same approach for electricity and hot water energy prediction as for heating prediction.
Electricity and Hot Water
We used the number of days per week that each cabin will be occupied in a weekly basis assuming full occupancy (7 people) when occupied and taking into account different behavioural models during the day.
Space Heating
Different approach was carried out due to constraints on the ESP-r software used to predict this type of demand. In ESP-r we cannot run a simulation specifying that only some of the days within a week the cabin will be occupied. We have to assume constant occupancy and hence we run one simulation per month using the average people per cabin per month. Casual gains for different levels of occupancy were taken into account.
After having generated the three profiles, Hot Water and Space Heating profiles were combined into one; heating demand profile. Finally, this heating demand profile along with the electricity profile were imported in Merit software.
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