Modeling Energy Consumption and Heat Exchange of Buildings

This research thesis investigates energy consumption and thermal dynamics in buildings, with a focus on achieving energy efficiency and indoor comfort in cold-climate regions like Norway. There is a necessity for the exploration of innovative approaches to combat energy waste and reduce consumption. Understanding various factors, including energy usage patterns, occupant behavior, climate conditions, heat transfer characteristics, and ventilation requirements, is crucial for energy optimization. This thesis presents the development of a continuous-time mathematical heating model for a building unit based on discretized formulas of mass and energy balances. To achieve precise predictions, the model integrates a correlation between numerical and analytical results. The model simulates indoor temperature under various scenarios and environments. The model simulates the building's response and tests its adaptability to different parameters to test its accuracy. Diverse buildings with varying criteria are also included to evaluate the model's behavior under different conditions. The study explores the dynamic heating models integrating smart sensors and energy control units to address heating challenges and improve energy efficiency. Findings hold relevance beyond Norway, offering valuable insights for other regions. The model's versatility paves the way for further research by validating the model with additional data, analyzing energy efficiency for various building designs, and evaluating its performance in complex residential buildings

Investigating the Granulometric Distribution of Fluvial Sediments through the Hybrid Technique: Case Study of the Baganza River (Italy)

Sediment characterization is a key parameter to understand the geomorphological attributes of a catchment (i.e., assessing the variability of the sediment transport capacity and surface roughness of a hydraulic channel). This assessment can be performed in several ways, for instance, through numerous sampling techniques (i.e., pebble count and zig-zag methods). Sediment sampling using manual sieving inside a laboratory is a hectic process as it requires ample time and physical effort, particularly when the scale of interest is at the catchment level. In order to find the granulometric distribution of some sections of the Baganza streambed (northern Italy), in order to carry out analysis at the catchment scale, a hybrid technique (a combination of the conventional and photogrammetric method) is introduced. Different grain size distribution curves (GSDs) obtained from the image processing technique using Digital Gravelometer software and traditional sediment sieve analysis (sieve-by-weight method) were compared. Sediment sampling was limited to sections of the streambed that were visible during lower flows in the dry summer season. Sediment samples including fine soil fraction, were collected up to a depth of 30 cm, although the exposed areas behaved as gravels and cobble bars. The adopted hybrid technique approach for the characterization of fluvial sediments is desirable in order to accommodate the full range of particle sizes inside the riverbed. Digital photography was performed at ten different cross sections, along the longitudinal profile of the 30 km long reach of the Baganza River, to examine the sediment distribution, grading, and representative particle sizes (D10, D50, D90) at each of the respective cross sections. A comparison of the photogrammetric method and traditional sieve analysis revealed strong agreement in coarser segments of the grain size distributions, but it was deficient in the finer part (<2 mm) due to the shielding effect produced by bigger particles. However, the adopted hybrid technique appears to be quite efficient and promising in determining the GSD by reducing the costs and the sediment sample collection time in the field

A study of the GAM approach to solve laminar boundary layer equations in the presence of a wedge

We apply an easy and simple technique, the generalized ap- proximation method (GAM) to investigate the temperature field associated with the Falkner-Skan boundary-layer problem. The nonlinear partial differ- ential equations are transformed to nonlinear ordinary differential equations using the similarity transformations. An iterative scheme for the non-linear ordinary differential equations associated with the velocity and temperature profiles are developed via GAM. Numerical results for the dimensionless ve- locity and temperature profiles of the wedge flow are presented graphically for different values of the wedge angle and Prandtl number

DOES CORPORATE SOCIAL RESPONSIBILITY INFLUENCE JOB STRESS AND TURNOVER OF EMPLOYEE IN PRIVATE COLLEGES OF PESHAWAR, KP-PAKISTAN?

The main aim of this research is to fill the gap by accomplish a realistic study in Private colleges of Peshawar-Pakistan, by knowing the impact of Corporate Social Responsibility on job stress and turnover of employee. Adopted questionnaires were used and Data was collected from existing literature through extensive study. Data analysis was perform using SPSS. Corporate Social Responsibility, job stress and turnover have negative correlation. This study will give a base for planning out strategy for establishing corporate social Responsibility in Private Colleges of Peshawar for maintainable developments besides decreasing job stress level and employee turnover rate. There is less research done on corporate social Responsibility, job stress and turnover relation in educational sector particularly in private colleges of Peshawar, Pakistan

DOES CORPORATE SOCIAL RESPONSIBILITY INFLUENCE JOB STRESS AND TURNOVER OF EMPLOYEE IN PRIVATE COLLEGES OF PESHAWAR, KP-PAKISTAN?

The main aim of this research is to fill the gap by accomplish a realistic study in Private colleges of Peshawar-Pakistan, by knowing the impact of Corporate Social Responsibility on job stress and turnover of employee. Adopted questionnaires were used and Data was collected from existing literature through extensive study. Data analysis was perform using SPSS. Corporate Social Responsibility, job stress and turnover have negative correlation. This study will give a base for planning out strategy for establishing corporate social Responsibility in Private Colleges of Peshawar for maintainable developments besides decreasing job stress level and employee turnover rate. There is less research done on corporate social Responsibility, job stress and turnover relation in educational sector particularly in private colleges of Peshawar, Pakistan

Localization performance evaluation of extended kalman filter in wireless sensors network

This paper evaluates the positioning and tracking performance of Extended Kalman Filter (EKF) in wireless sensors network. The EKF is a linear approximation of statistical Kalman Filter (KF) and has the capability to work efficiently in non-linear systems. The EKF is based on an iterative process of estimating current state information from the previously estimated state. Its working is based on the linearization of observation model around the mean of current state information. The EKF has small computation complexity and requires low memory compared to other Bayesian algorithms which makes it very suitable for low powered mobile devices. This paper evaluates the localization and tracking performance of EKF for (i) Position (P) model, (ii) Position-Velocity (PV) model and (iii) Position-Velocity-Acceleration (PVA) model. The EKF processes distance measurements from cricket sensors that are acquired through time difference of arrival between ultrasound and Radio Frequency (RF) signals. Further, localization performance under varying number of beacons/sensors is also evaluated in this paper. © 2014 Published by Elsevier B.V.Peer ReviewedPostprint (published version