https://orca.cf.ac.uk/88855/1/Metering_final-version.pdf

Building energy metering and environmental monitoring – A state-of-the-art review and directions for future research

Preface: Asset Management Part I: The Asset Owner Chapter 1: Asset Owners Chapter 2: Preferences Chapter 3: Mean-Variance Investing Chapter 4: Investing for the Long Run Chapter 5: Investing Over the Life Cycle Part II: Factor Risk Premiums Chapter 6: Factor Theory Chapter 7: Factors Chapter 8: Equities Chapter 9: Bonds Chapter 10: Alpha (and the Low Risk Anomaly) Chapter 11: " Assets Chapter 12: Tax-Efficient Investing Chapter 13: Illiquid Assets Chapter 14: Factor Investing Part III: Delegated Portfolio Management Chapter 15: Delegated Investing Chapter 16: Mutual Funds and Other 40-Act Funds Chapter 17: Hedge Funds Chapter 18: Private Equity Afterword: Factor Management Appendix: Returns Acknowledgements Bibliography Index

Asset Management: A Systematic Approach to Factor Investing

A review of fault detection and diagnosis methodologies on air-handling units

Development and validation of an HVAC on/off controller in EnergyPlus for energy simulation of residential and small commercial buildings

The introduction of the Internet of Things (IoT) in the construction industry is evolving facility maintenance (FM) towards predictive maintenance development. Predictive maintenance of building facilities requires continuously updated data on construction components to be acquired through integrated sensors. The main challenges in developing predictive maintenance tools for building facilities is IoT integration, IoT data visualization on the building 3D model and implementation of maintenance management system on the IoT and building information modeling (BIM). The current 3D building models do not fully interact with IoT building facilities data. Data integration in BIM is challenging. The research aims to integrate IoT alert systems with BIM models to monitor building facilities during the operational phase and to visualize building facilities’ conditions virtually. To provide efficient maintenance services for building facilities this research proposes an integration of a digital framework based on IoT and BIM platforms. Sensors applied in the building systems and IoT technology on a cloud platform with opensource tools and standards enable monitoring of real-time operation and detecting of different kinds of faults in case of malfunction or failure, therefore sending alerts to facility managers and operators. Proposed preventive maintenance methodology applied on a proof-of-concept heating, ventilation and air conditioning (HVAC) plant adopts open source IoT sensor networks. The results show that the integrated IoT and BIM dashboard framework and implemented building structures preventive maintenance methodology are applicable and promising. The automated system architecture of building facilities is intended to provide a reliable and practical tool for real-time data acquisition. Analysis and 3D visualization to support intelligent monitoring of the indoor condition in buildings will enable the facility managers to make faster and better decisions and to improve building facilities’ real time monitoring with fallouts on the maintenance timeliness.

https://www.mdpi.com/2076-3417/11/12/5374/pdf

IoT Open-Source Architecture for the Maintenance of Building Facilities

Building Control Systems.

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Building Control Systems.