Modelling Optimization of Energy Efficiency in Buildings for Urban Sustainability

MOEEBIUS introduces a Holistic Energy Performance Optimization Framework that enhances current modelling approaches and delivers innovative simulation tools which deeply grasp and describe real-life building operation complexities in accurate simulation predictions that significantly reduce the “performance gap” and enhance multi-fold, continuous optimization of building energy performance as a means to further mitigate and reduce the identified “performance gap” in real-time or through retrofitting.


MOEEBIUS project reports:

MOEEBIUS Common Information Model

The goal of this document is the definition of the MOEEBIUS Common Information Model (CIM), which will describe the high level domain model comprising the basic elements (semantic concepts, events, relations, interfaces, etc.) and will support the information needs of the components underlying the MOEEBIUS project. The document builds upon the business scenario for a holistic and dynamic modelling and simulation / optimization approach that enables (1) Improved predictions on the basis of more accurate and dynamically updated Building Energy Performance Simulation (BEPS) models, (2) Real-time building and district performance optimization through control and predictive maintenance and (3) Optimized retrofitting decision making on the basis of improved performance predictions. Taking the holistic scenario as reference, the document further elaborates on the data exchange requirements envisaged for each of the components. In this regard, connections to the relevant sections in the building industry reference data models are provided.

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Local and Global Energy performance models

In this task the local (building level) and global (district level) energy performance models required by the Enhanced BEPS, the building and district level DAE-s and by the Integrated MOEEBIUS DSS to represent, simulate and evaluate the energy performance of buildings and complete districts, have been developed. The report also describes the procedure to dynamically update the values of the key thermal parameters of the EnergyPlus models with the actual information of each specific building has been defined. In addition, the document presents procedure which provides the ability to building models to exactly reproduce the complexities of the actual buildings by addressing areas and aspects that are dominated by assumptions (e.g. infiltrations, etc.). With this approach MOEEBIUS ensures the delivery of more dynamic and representative holistic models (without increasing significantly the introduced complexity) with the capacity to minimize deviations between predicted and actual building performance.

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Wireless Sensor/Actuator Network Specification for Accurate, Complete and Non-Intrusive Sensing

The goal of this document is to provide the final list of the specifications for the MOEEBIUS NOD and define the types of commercial sensors, meters and actuators needed within the MOEEBIUS context to successfully fulfil the different use case scenarios of the project in order to offer the complete sensing and actuation functionality required by the MOEEBIUS framework. This document has been finalized taking into account the specification requirements for the end users from the project partners within the MOEEBIUS consortium. More specifically, this document defines the distinct technological components that need to be included (1) in the MOEEBIUS NOD to enable design of the sensor NOD and (2) in the MOEEBIUS System to enable design of the network to take place.

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MOEEBIUS Building-Level Middleware

The aim of this report is to describe the process of selecting and building MOEEBIUS building level middleware layer. The document starts with the middleware requirements and expectations resulting in possible options and choices to be made. Once the platform is selected, the document elaborates on hardware choices, which are important to provide expected performance at reasonable cost. To explain the middleware expected use, it then describes key middleware building blocks and their relationships. The most crucial part describes which functionalities developers can expect from the middleware and how they are expected to utilize it, however, the contents of this document should not be mixed with software development documentation. Finally, this part is accompanied by selected use cases.

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MOEEBIUS District-Level Middleware

The aim of this report is to describe the process of selecting a district MOEEBIUS middleware layer. the document then describes key middleware building blocks and their relationships. The most crucial part describes which functionalities developers can expect from the middleware and how they are expected to utilize it, however, the contents of this document should not be mixed with software development documentation. Finally, this part is accompanied by selected use cases.

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MOEEBIUS Indoor Air Quality Assessment Models

This report focuses on the provision of enhanced Indoor Air Quality (IAQ) Models that are able to evaluate indoor hygienic and health/well-being conditions through identifying contamination of the air with various compounds, such as carbon dioxide (CO2), carbon monoxide (CO), and volatile organic compounds (VOCs). This was accomplished through the development of an improved IAQ model to be integrated in the Energy Management System (EMS) program.

This document starts with a brief introduction and definition of the IAQ, a literature review and importance of the IAQ for human health, followed by the characterization of the main pollutant sources which are key factors to improve in the IAQ model developed. Then, the modelling methodology adopted is introduced and the IAQ model inputs are detailed and finally the numerical solution, which is adapted for direct integration in E+ language, is presented. The main outcome of this document is a proposal of an improved mathematical model for the indoor air pollutant concentration prediction adapted for the calculation engine of the Building Energy Performance Simulation (BEPS) - E+.

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MOEEBIUS Models of DER devices

The goal of this report is to present the enhanced district heating and DER (Distributed Energy Resources) system models, necessary to provide the modelling functions required by the BEPS and by the District DAE to produce building and district level predictions (Thermal/electric demand, fuel consumption, equipment response), and enable the implementation of energy efficiency-driven or demand response-driven operational strategies. The following document pays special attention to the modelling capabilities necessary to address all specific needs of the MOOEBIUS pilots, among which Portuguese swimming pool can be found.

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MOEEBIUS Comfort Profiling Models

The main objective of this task is to define dynamic occupancy and visual/thermal comfort models towards facilitating the definition of accurate comfort profiles for occupants within buildings. These models will be further integrated to the overall MOEEBIUS framework, enabling the holistic optimization of the building performance under constraints imposed by the actual comfort preferences of building occupants. Overall, the main outcome of the task is the definition of occupancy and behavioural models to be further incorporated in the developments of MOEEBIUS profiling framework. In addition, the models will be further available to the BEPS simulation engine of the project towards the delivery of a fine grained building performance management framework.

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Functional and Non-functional requirements of the MOEEBIUS framework and individual components

The goal of this document is to provide the final list of system components that consist of the overall MOEEBIUS framework and further map the already defined end users and business requirements to the main functionalities supported by the components of the system.    

More specifically, this task defines the distinct technological components that needs to be included in the MOEEBIUS framework, in order to address the needs of end-users as well as the constraints set by the identified business models and the energy performance assessment methodology. This document breaks down the list of requirements defined in “End-user & business requirements” report into functional and non-functional requirements of the identified individual components and subsequently guides the work to be performed under “MOEEBIUS Architectural Design and Technological/Functional Specifications - Communication interfaces and protocols definition”. Therefore, this document screens the landscape towards the definition of the different system components that will further enable the detailed specification analysis and architectural design of the MOEEBIUS framework.

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MOEEBIUS Energy Performance Assessment Methodology

This document contains the work relative to MOEEBIUS task “Building and District performance assessment specifications and Key Performance Indicators”.

The objective of this task is to provide the basis for the MOEEBIUS Measurement and Verification (M&V) Protocol, which defines a novel methodology through the review, combination and extension of current methodologies and protocols.

This M&V framework will enable the holistic modelling activities in the project and the definition of the MOEEBIUS local and global energy performance models. Consequently, adequate Key Performance Indicators (KPIs) have been incorporated to assess the results achieved by MOEEBIUS, that is, the optimization of the energy performance at both building and district levels, addressing energy and economic savings, but always under user’s comfort conditions. After selecting and improving existing indicators from international standards and other EU projects, the considered categories for the Key Performance Indicators will be energy, demand response, indoor environmental conditions, economic, and maintenance aspects, but also the MOEEBIUS simulation system. For each KPI, it will be defined the calculation method with the formulas used and monitoring needs to determine the performance of the parameters.

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New Business Models and Associated Energy Management Strategies

The aim of the report was to develop proposal of four innovative ESCO business models and three innovative Demand Response (DR) business models. The ESCO business models developed introduce energy management based on enhanced energy performance contracts (EPCs), a condition/efficiency EPC model for ESCOs, a tool for raising occupants’ awareness for energy savings and the valorisation of buildings through energy certification. Incorporation of comfort and health parameters as part of an EPC, real time automation, predictive maintenance, gamification and behavioural triggering are some examples of innovative aspects that were introduced in the ESCO business models. Regarding DR, the business models developed include predictive analytics, peak demand management and a flexible DSM framework for participation on external market.

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End-user & business requirements 

The report presents thorough analysis of the end-user requirements in order to create the necessary inputs for defining the different components of the platform and therefore setting the skeleton for MOEEBIUS framework. The list of requirements is derived through the active end users participation and involvement in the MOEEBIUS Living Lab as part of the open innovation approach introduced in MOEEBIUS project. Business scenarios and use-cases definition at the very early phase of the work, drive the whole requirement definition process for the proposed framework so as to allow end-users to easily grasp the intention, functionality and use of MOEEBIUS results.

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MOEEBIUS Living Lab Activities Planning

This report describes the designed methodology for the activities plan to be developed at the Living Labs. All these activities will be consecutively executed. First of all, the validation framework is defined by specifying the Living Lab sites, the validation scenarios, collecting end-user requirements and analyzing the current state and performance of the buildings with an ex-ante evaluation. Following, the first intervention actions will take place in the roll-out phase, with the installation of the required equipment, the calibration of the models and the realization of a first trial in order to evaluate, optimize and re-calibrate the models and develop a second improved trial phase. After this, the results will be validated, and an analysis of the impact and cost-benefit will be done.

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MOEEBIUS Dissemination and Communication Plan        

This report serves as a background and framework document supporting all dissemination and communication activities performed within the project Modelling Optimization of Energy Efficiency in Buildings for Urban Sustainability (MOEEBIUS). Although it provides many general information and provisions valid through the whole duration of the project, the focus is on the activities in the first 18 months of project duration. Effective dissemination of results is an essential part of every research project. This ensures that the gained knowledge or exploitable foreground can benefit the whole society, and that any duplication of research and development activities is avoided.

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Saturday, February 24, 2018


EU  This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 680517.