A novel coupling control with decision-maker and PID controller for minimizing heating energy consumption and ensuring indoor environmental quality

Due to climate change, global energy crisis, and high-quality life requirement for people, decreasing building energy consumption and enhancing indoor environment quality through control of heating, ventilation, and air conditioning systems tend to be increasingly important. Therefore, favorable control methods for heating and ventilation systems are urgently necessary. In this work, a new coupling control with decision-maker was proposed, developed, and investigated; meanwhile, several demand controlled ventilation strategies combined with heating control method was compared considering heating energy consumption, thermal comfort, and indoor air quality. In order to properly model the service systems, the air change rates and thermal time constants have been first measured in a reference office installed with commonly applied bottom-hinged tilted windows in our low-energy building supplied by geothermal district heating. Then, simulations have been carried out across two typical winter days in the reference office. The results illustrate that the proposed combination of suitable heating and demand controlled ventilation coupling control methods with decision-maker and proportional-integral-derivative (PID) controller could greatly reduce heating consumption in the reference room during the office time: around 52.4% (4.4 kW h energy saving) per day in winter in comparison to a commonly suggested method of intensive and brief airing. At the same time, it could ensure indoor CO2 concentration to keep within the pre-set ranges (Pettenkofer limit: 1000 ppm) as well as low variations of indoor temperature (standard deviation (SD): 0.1°C)

Solar hydrogen system for cooking applications: Experimental and numerical study

This paper describes the development of a semi-empirical numerical model for a solar hydrogen system consisting of a proton exchange membrane electrolyser (PEM) powered by photovoltaic panels to produce hydrogen as fuel for cooking applications, focussing on Jamaica as a suitable case-study. The model was developed in TRNSYS and includes a novel numerical component based on FORTRAN to model the operation of the PEM electrolyser. The numerical component was developed based on operational data from a purpose constructed small-scale experimental rig. The numerical model was calibrated using data from the experimental rig powered by operational data from a photovoltaic panel system in the UK and predicted photovoltaic panel power data from Jamaica. For the test conditions, experiments indicated an electrolysis maximum efficiency of 63.6%. The calibrated model was used to develop a case study analysis for a small community in Jamaica with a daily cooking demand of 39.6kWh or 1.7kg of H2 gas. Simulations indicate that the H2 production plan is sufficient for the cooking needs of the case-study.This project is partly funded by ACP Caribbean & Pacific Research Programme for Sustainable Development of the European Union (EuropeAid/130381/D/ACT/ACP)

Computer simulation of a bivalent heating installation

A computer simulation program for a dwelling heating installation has been developed and tested. It uses principles and defined parameters, with simplifications to reduce the program size and execution time. Integration of the differential equations describing the heat transfer in the system is performed with constant time steps (explicit scheme). The program is utilized to study the performance of the heating system and to perform parametric studies to determine the effects of changes in various parameters on performance. The influence of the time increment, thermal insulation, heat capacity and of other parameters on system performance has been analyzed. Included in the regulation software of a control system, the program is a design tool to optimize regulation and help in developing and testing modern regulators