Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Occupant-Oriented Demand Response with Model Predictive Heating Control in a Multi-Zone Residential Building

    Posted By: readerXXI
    Occupant-Oriented Demand Response with Model Predictive Heating Control in a Multi-Zone Residential Building

    Occupant-Oriented Demand Response with Model Predictive Heating Control in a Multi-Zone Residential Building
    Moritz Frahm
    English | 2025 | ISBN: 9783731513858 | 130 Pages | True PDF | 1.56 MB

    This book introduces a framework for occupant-oriented demand response in residential buildings with distributed energy sources. Using model predictive control, it optimizes heat pump operation while integrating PV, batteries, and occupants’ thermal satisfaction. Results show over 20% cost savings and enhanced thermal satisfaction. PV integration further reduces costs by over 50%. The framework provides a practical, data-driven approach for versatile, energy-efficient building solutions.