WINNERS ANNOUNCED

 

Casa del Mar

  • Prize
    Winner in Architectural Design Beach Destination
  • Company/Firm
    Acebal Canney Arquitectos & Asociados
  • Lead Designer
    Alejandro Acebal
  • Other Designer(s)
    Laura Leger, Vicky Pérez Mirambeaux, Stefany Taron, Leonor Cordero & Silvia Caradona
  • Architect
    Alejandro Acebal
  • Interior Designer
    El Estudio Store & Restoration Hardware Toronto
  • Construction Company
    Constructora Heco
  • Photo Credit
    Fabiana Ocando & Juan Mendoza
  • Location
    Juanillo, Cap Cana. Dominican Republic
  • Project Date
    October 2025
  • Project Link

Casa del Mar is a luxury beachfront residence in Juanillo, Cap Cana, conceived as a serene dialogue between architecture, landscape, and the Caribbean Sea. The design is defined by simple, overlapping volumes that create a gradual transition between land, sea, and sky, allowing the house to be experienced through movement, framed views, and changing light.

Arrival unfolds as a sensory sequence: an interactive wooden entrance door formed by movable panels leads to a linear path framed by water features, tropical gardens, and a textured stone wall that appears to float above a reflecting pool. This journey culminates in a generous covered terrace that opens fully toward the ocean, where a beach-entry swimming pool in light beige tones echoes the natural sand and the clarity of the sea.

Interior and exterior spaces dissolve through large glazed openings and double-height volumes, ensuring continuous visual connections to the landscape. The residence consists of a two-level main house and a separate guest house, integrated within a lush tropical setting. A cast-in-place reinforced concrete structure with lightweight slabs enables long spans, clean cantilevers, and flexible interiors.




LIV Hospitality Design Awards 2025
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.