Abstract-The aim of this paper is to develop a simplified building-HVAC system which could predict the temperature variation within the building and estimate the amount of energy required to get the comfort level using the Matlab/Simulink. For the estimation, this model would take into account of different physical properties of building, location of building, weather, gains and heating system. As a case study, the model has been implemented to a semidetached dwelling with all the real data. The results obtained from Matlab/Simulink are then compared with another software which is verified against IEA Building Energy Simulation Test (IEA BESTEST) building load and HVAC tests. The main advantage of this model is its simplicity and less computational resources.

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<p class="abstract"><strong>Background:</strong> <span lang="EN-IN">Tonsillectomy is one of the most common surgical procedures performed worldwide by otorhinolaryngologists for the different indications. There are different studies in literature comparing bipolar diathermy with either harmonic scalpel or cold dissection but the thunderbeat is still not used in tonsillectomy. The thunderbeat device which is the integration of ultrasonic and advanced bipolar energies used exclusively in laparoscopic surgery but still not used in tonsillectomy. So, the main aim of this study is to compare the thunderbeat device with bipolar diathermy in surgical outcome of tonsillectomy</span>.</p><p class="abstract"><strong>Methods:</strong> This was the prospective study performed in total 25 patients. The patients included in the study underwent tonsillectomy on one side using thunderbeat device and on the other side using bipolar diathermy. The intra-operative blood loss, operative time and post-operative pain were taken for analysis in both the surgical procedures. <span lang="EN-IN">All the data were analyzed with the statistical package for the social sciences (SPSS) software version 20. </span><span lang="EN-IN"> </span></p><p class="abstract"><strong>Results:</strong> Among the twenty five patients, the age groups range from 19-36 years with mean age 25.36±5.62 years. Out of 25 patients, 7 were male and 18 were female. The comparison of operation time and intra-operative blood loss between thunderbeat and bipolar diathermy showed statistically significant differences. <span lang="EN-IN">The comparison of pain score showed statistically significant result with better pain results in bipolar diathermy</span>.</p><p class="abstract"><strong>Conclusions:</strong> <span lang="EN-IN">The thunderbeat uses in tonsillectomies is less time consuming and decrease intra-operative blood loss. But, the post-operative pain is more as compared to bipolar diathermy. Though, it is safe and effective in performing tonsillectomy but its cost is the main drawback for its regular use. </span></p>

Electrical demand in a house depends on various factors mainly being the user's behaviour and the rating of the appliances. Some researchers have used daily domestic electrical demand profile at half hour time resolution for the energy management. When data of half hour time interval is used for the analysis of on-site generation, it can lead to over/underestimates of the proportion of generated energy used on site. As a consequence, this could lead to over/under-estimating in the import and export of power from and to the power grid. In this paper, domestic electricity use profile recorded at high time resolution of one minute is used to analyse the profile obtained at different time resolution and its effect on on-site generation.Daily load profile for summer and winter at time resolution of 30 minute is generated from a data set of 22 houses consisting data of a whole year which is then compared with the daily load curve obtained after diversity maximum demand from the literature. The generated daily load profile is then used to see effect on the low voltage network. For the analysis on the low voltage network, a typical UK low voltage network is developed in the Matlab/Simulink software.Index Terms -Domestic load profile, Distribution network, Electrical load profile, Low voltage network.