Scientific Conference Papers

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Conference proceedings,
Advanced Studies in Energy Efficiency and Built Environment for Developing Countries Proceedings of IEREK Conferences: Improving Sustainability Concept in Developing Countries (ISCDC-2) ,

Abstract

The aim of this paper is to assess the gaps and needs for net-zero energy buildings (NZEBS) design and implementations in MENA Region, particularly in Egypt. The paper reviews current government efforts and regulations on energy efficiency in buildings, the academic efforts in developing NZEBs concept, as well as challenges and barriers in building design phases.

For illustration, the paper summarized study undertaken to analyze the potential challenges and opportunities for implement (NZEBs) in Egypt as an example of Mena region. Two case studies in Mena region E-JUST campus in Egypt and MASDAR City in UAE had been analyzed. The review and case studies show a lack of energy performance in Egyptian buildings code and optimization calculation methods, as well as limited numbers of academic work for NZEBs which studied the Egyptian case.

It is concluded that the current building codes and laws need to be upgraded to include the energy performance of buildings requirements, a database for buildings materials need to be developed with studies to the cost optimal for different buildings type in Egypt, one the challenges of the NZEBs in is the vernacular environment and enhancing the implementation procedures.


Conference proceedings,
2018 International Conference on Information and Communication Technology Convergence (ICTC) ,

Abstract

A huge volume of data are being generated from multiple sources, including smart cities, the IoT devices, scientific modeling, or different big data simulations; but also from users’ daily activities. These daily new data are added to historical repositories, providing the huge and complex universe of the digital data. Recently, the Fog-to-Cloud (F2C) data management architecture is envisioned to handle all big data complexities, from IoT devices (the closest layer to the users) to cloud technologies (the farthest layer to the IoT devices), as well as different data phases from creation to usage from fog to cloud scenario. Moreover, the F2C data management architecture can have several benefits from the combined advantages of fog (distributed) and cloud (centralized) technologies including reducing network traffic, reducing latencies drastically while improving security.
In this paper, we have several novel contributions. First, we described the previous studies of the Zero Emission Buildings (ZEB) in the context of the data flow and movement architecture. Second, we have proposed Zero Emission Neighbourhoods (ZEN) data management architecture for smart city scenarios based on a distributed hierarchical F2C data management. Indeed, we used the 6Vs big data challenges (Volume, Variety, Velocity, Variability, Veracity, and Value) for evaluating the data management architectures (including ZEB and ZEN). The result of the evaluation shows that our proposed ZEN data management architecture can address 6Vs challenges and is able to manage the data lifecycle from its production up to its usage.

Dziedzic, J.W., Yan, D. & Novakovic, V. (2018) Real Time Measurement of Dynamic Metabolic Factor (D-MET)
Conference proceedings,
Cold Climate HVAC 2018 ,

Abstract

The presented study describes developing a method for observing building occupants’ activity. Once their activity is registered, such data can be used to identify typical patterns in their behaviour. The collected information will support development of an occupant-behaviour-energy-related model in residential buildings. Data registration was done with the use of the Microsoft Kinect device as a depth registration camera. This research explores an innovative approach to investigating residents’ living and working habits. It supports the already existing thermal comfort models by delivering high resolution information about occupants’ activities. The obtained solution and its output will be used in the next stage of developing a dynamic metabolic rate (D-MET) model that will simulate the MET value. With proper data, it will be possible to estimate the real impact of occupants and their behaviour on energy consumption of buildings.


Dong, B., Kjærgaard, M.B., Simone, M.D., Gunay, H.B., O'Brien, W., Dafni, M., Dziedzic, J. & Zhao, J. (2018) Sensing and Data Acquisition
Conference proceedings,
Exploring Occupant Behavior in Buildings,
chapter 4,
pages 77-105,

Abstract

Occupant sensing and data acquisition are essential elements for occupant behavior research. A wide range of different types of sensors has been implemented to collect rich information on occupants and their interactions with the built environment, such as presence, actions, power consumption, etc. This information establishes a foundation to study the physiological, psychological, and social aspects of occupant behavior. This chapter summarizes existing occupancy and occupant behavior sensing and data acquisition technologies in terms of field applications, and develops nine performance metrics for their evaluation. The reviewed technologies focus on both occupants’ presence and interactions with the built environment, and are grouped into six major categories: image-based, threshold and mechanical, motion sensing, radio-based, human-in-the-loop, and consumption sensing. This chapter provides an overview and discussion of different current state-of-the-art and future sensing technologies for researchers.


Backe, S., Crespo del Granado, P., Pinel, D., Korpås, M., Tomasgard, A. & Lindberg, K.B. (2018) Towards Zero Emission Neighbourhoods: Implications for the Power System
Conference proceedings,
2018 15th International Conference on the European Energy Market - EEM ,

Abstract

This paper investigates the development of neighbourhoods with ambitious emission targets in the Nordic countries and their value for the power system. The targets relate to compensating for emissions in neighbourhoods through local low-carbon electricity and heat production. The first part of our analysis investigates local generation expansion with a neighbourhood perspective using a mixed integer linear programming model. The second part investigates the value of representative neighbourhoods with a country perspective using a generation and transmission capacity expansion model. When coupling the models, results indicate that neighbourhoods with co-generation of electricity and heat are most attractive for the power system in the Nordics, while neighbourhoods with solar PV provide most emission reduction.