Impacts of energy legislation on organizational motivation: a case study

Also deposited at UCL Open Access system https://rps.ucl.ac.uk/viewobject.html?cid=1&id=1276948 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link

Comfort signatures: How long-term studies of occupant satisfaction in office buildings reveal on-going performance

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link

Assessment of building-integrated green technologies: A review and case study on applications of Multi-Criteria Decision Making (MCDM) method

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link

Criteria weighting for green technology selection as part of retrofit decision making process for existing non-domestic buildings

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The implementation of green technologies, as part of retrofit, can significantly improve building performance. However, green technology selection is a complex decision making process due to multiple evaluation criteria and often conflicting interests of different stakeholders involved. This paper proposes default criteria weights based for previously-developed criteria tree consisting of in total 39 criteria organised around environmental, economic, social and technical performance of green technologies. Web-based surveys of experts including architects, engineers, planners in the UK and China were conducted to capture expert opinions on sustainability and technical criteria. Analytical Hierarchy Process (AHP) method was used to calculate default criteria weights. Comparisons between expert groups in different countries were also performed. Results show that UK experts more concern about Economic performance of green technology, specifically with UK architects and engineers assigning high weights on Cost. For the Environmental category, Reduction of energy consumption and Reduction of water consumption are ranked as the most important topics under In-use environmental performance by all experts. UK experts have shown a growing concern on Reduction of water consumption. Under The improvement of indoor environmental quality, Thermal comfort is ranked as the most important criterion by UK experts and Visual comfort is weighted as the first priority by Chinese experts. Compared with UK experts, Chinese experts have placed a significant importance on Technical criteria, represented by engineer group emphasising on Durability for this category

Design and simulation of a fuzzy controller for naturally ventilated buildings

This paper was invited by experts in the field for this special issue of BSERT dedicated to the Systems Simulation in Buildings conference. Marjanovic wrote the paper and is the lead author

Facilities management added value in closing the energy performance gap

Existing non-domestic buildings tend to use more energy than expected. This paper investigates how the operational strategies of facilities management can contribute to reducing building energy use. A longitudinal case study of a higher education (HE) campus which was conceptualised with the objective of being environmentally friendly and energy efficient is presented. The paper reflects on the energy performance of the campus since its operation in 2001, based on 14 years of energy data and a detailed record of all initiatives undertaken by the campus’s facilities management (FM) team in order to optimise energy performance. The integrated FM strategy composed of low- and no-cost strategies, continuous improvements, ongoing commissioning and retrofits succeeded in reducing campus energy intensity from 174 to 87 kWh/(m2*yr), now outperforming most relevant benchmarks. This finding highlights the importance of operations and maintenance in reducing the energy usage of existing buildings. This presented findings draw on a single case only, which excels through a very detailed longitudinal dataset. Going forwards, the analysis of further cases is recommended to corroborate the findings. The presented results suggest that proactive operations and maintenance strategies in existing buildings can contribute towards significantly improving energy performance. The profile and competency level of facilities management personnel should consequently be raised strategically at the organisational and national/industrial policy level, whilst integrated design processes should be further expanded to include FM’s operational control and management in a holistically fashion

Navigating multi-dimensional results from large parametric building simulation studies

Advances in computing in recent years allow for many thousands of building energy simulations to be computed in the time previously required for a single simulation run. Software tools exist that allow for a single input file to be modified in a number of different ways to generate thousands of self-similar input files which can then be automatically simulated. The problem with this approach is not the simulation time but the time and effort required for the analysis of the vast set of results generated. Large, multi-dimensional result sets cannot be easily visualised as a whole. One approach is to view the results as a non-linear, interactive document in which only a small part of the results is viewed at any one time. With the addition of simple navigation to select the next sample to view, this approach allows the analyst to easily browse the large result set. More concretely, a one-dimensional sample (a selection of simulations which vary in only one aspect) can be selected from the dataset and visualised as a simple bar chart. Simple rules can then be applied to identify a collection of similar, one-dimensional samples for navigation. To examine this approach, a prototype tool was developed as a web-based application. The basis for this tool was a multi-parameter simulation study of office building energy consumption including 1,440 individual simulations varying across six dimensions including four building types, five building fabrics, three percentages of glazing, the inclusion of daylight control, two glazing types and six HVAC system types (including building load calculations). The tool included a basic report comparing a one-dimensional sample of results and a detailed report showing time series results for an individual case. Navigation panels allowed for simple traversal of the results set and to move between the two reports. The tool was found to be very useful for navigating the multi-dimensional data and the method is generic enough to be transferable to similar datasets